# import packages
import pandas as pd
import numpy as np
import warnings
import matplotlib.pyplot as plt
import seaborn as sns
from tqdm import tqdm
import re
from pandas.api.types import CategoricalDtype
from scipy import sparse
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
from sklearn.model_selection import cross_val_score, train_test_split, StratifiedKFold
from sklearn.metrics import f1_score, accuracy_score
from sklearn.ensemble import VotingClassifier
from xgboost import XGBRegressor, XGBClassifier
from lightgbm import LGBMRegressor, LGBMClassifier, LGBMRanker, early_stopping
from catboost import CatBoostRegressor, CatBoostClassifier, Pool
from surprise import Dataset, Reader, accuracy, SVD, KNNBasic, CoClustering
from surprise.dataset import DatasetAutoFolds
warnings.filterwarnings(action='ignore')
users=pd.read_csv('users_2.0.csv')
books=pd.read_csv('books_2.0.csv')
ratings=pd.read_csv('data/train_ratings.csv')
submission_test=pd.read_csv('data/sample_submission.csv')
SEED=8746
dictionary=pd.concat([ratings,submission_test])
user2idx = {v:k for k,v in enumerate(dictionary['user_id'].unique())}
book2idx = {v:k for k,v in enumerate(dictionary['isbn'].unique())}
merge1 = ratings.merge(books, how='left', on='isbn')
dataset = merge1.merge(users, how='inner', on='user_id')
dataset.columns
Index(['user_id', 'isbn', 'rating', 'book_title', 'book_author',
'year_of_publication', 'publisher', 'img_url', 'language', 'category',
'summary', 'img_path', 'age', 'location_country'],
dtype='object')
from pandas.api.types import CategoricalDtype
from scipy import sparse
ratings['iid'] = ratings['isbn'].map(book2idx)
ratings['uid'] = ratings['user_id'].map(user2idx)
size_uid = ratings["uid"].unique()
size_iid = ratings["iid"].unique()
ui_shape = (len(size_uid), len(size_iid))
user_cat = CategoricalDtype(categories=sorted(size_uid), ordered=True)
book_cat = CategoricalDtype(categories=sorted(size_iid), ordered=True)
user_index = ratings["uid"].astype(user_cat).cat.codes
book_index = ratings["iid"].astype(book_cat).cat.codes
interactions = sparse.coo_matrix((ratings["rating"], (user_index,book_index)), shape=ui_shape)
def check_sparsity(interactions:sparse.coo_matrix)->int:
matrix_size = interactions.shape[0]*interactions.shape[1] # Number of possible interactions in the matrix
num_purchases = len(interactions.nonzero()[0]) # Number of items interacted with
sparsity = 100*(1 - (num_purchases/matrix_size))
return round(sparsity,4)
#sparse 확인
print(f"matrix sparsity : {check_sparsity(interactions)}%")
matrix sparsity : 99.996%
def shuffle_data(interactions:sparse.coo_matrix, random_state:int=42)->tuple:
random_state = np.random.RandomState(seed=random_state)
interactions = interactions.tocoo()
uids, iids, data = (interactions.row, interactions.col, interactions.data)
shuffle_indices = np.arange(len(uids))
random_state.shuffle(shuffle_indices)
uids = uids[shuffle_indices]
iids = iids[shuffle_indices]
data = data[shuffle_indices]
return uids, iids, data
def cutoff_by_user(uids:list, test_percentage:float=0.2):
cutoff = int((1.0 - test_percentage) * len(uids))
train_idx = slice(None, cutoff)
test_idx = slice(cutoff, None)
return train_idx, test_idx
def random_train_test_split(interactions, test_percentage=0.2, valid=None, random_state=42):
uids, iids, data = shuffle_data(interactions, random_state)
train_idx, test_idx = cutoff_by_user(uids, test_percentage)
shape = interactions.shape
train = sparse.coo_matrix(
(data[train_idx], (uids[train_idx], iids[train_idx])),
shape=shape,
dtype=interactions.dtype,
)
test = sparse.coo_matrix(
(data[test_idx], (uids[test_idx], iids[test_idx])),
shape=shape,
dtype=interactions.dtype,
)
return train, test
train, test = random_train_test_split(interactions,test_percentage=0.2,random_state=42)
train = train.tocsr()
test = test.tocsr()
train.shape, test.shape
((59803, 129777), (59803, 129777))
uids, iids, data = shuffle_data(interactions)
train_idx, test_idx = cutoff_by_user(uids)
train_df = pd.DataFrame({'uid':uids[train_idx], 'iid':iids[train_idx], 'ratings':data[train_idx]})
test_df = pd.DataFrame({'uid':uids[test_idx], 'iid':iids[test_idx], 'ratings':data[test_idx]})
test_df
| uid | iid | ratings | |
|---|---|---|---|
| 0 | 41848 | 33783 | 9 |
| 1 | 6538 | 2644 | 8 |
| 2 | 11221 | 81890 | 10 |
| 3 | 16021 | 6142 | 9 |
| 4 | 4632 | 89180 | 3 |
| ... | ... | ... | ... |
| 61354 | 2752 | 14936 | 6 |
| 61355 | 8108 | 86566 | 7 |
| 61356 | 10534 | 18168 | 5 |
| 61357 | 40246 | 22419 | 8 |
| 61358 | 24097 | 15452 | 10 |
61359 rows × 3 columns
users_df=users.copy()
users_df['uid'] = users_df['user_id'].map(user2idx)
users_df['age'] = users_df['age'].map(lambda x:x//10 if type(x)!=str else -1)
#연령별 카테고리화
!!!!user_df두개
#users_df.dropna(inplace=True)
users_df.fillna(0)
| user_id | age | location_country | uid | |
|---|---|---|---|---|
| 0 | 8 | 3.0 | 2.0 | 0.0 |
| 1 | 11400 | 4.0 | 2.0 | 2334.0 |
| 2 | 67544 | 3.0 | 2.0 | 1.0 |
| 3 | 85526 | 3.0 | 2.0 | 4789.0 |
| 4 | 96054 | 2.0 | 2.0 | 3936.0 |
| ... | ... | ... | ... | ... |
| 68087 | 156948 | 4.0 | 0.0 | 44668.0 |
| 68088 | 169489 | 0.0 | 0.0 | 64230.0 |
| 68089 | 56072 | 0.0 | 0.0 | 49566.0 |
| 68090 | 64582 | 3.0 | 0.0 | 51901.0 |
| 68091 | 218092 | 0.0 | 0.0 | 58709.0 |
68092 rows × 4 columns
books_df = books.copy()
books_df['iid'] = books_df['isbn'].map(book2idx)
books_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 149570 entries, 0 to 149569 Data columns (total 11 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 isbn 149570 non-null object 1 book_title 149570 non-null object 2 book_author 149570 non-null object 3 year_of_publication 149570 non-null float64 4 publisher 149570 non-null int64 5 img_url 149570 non-null object 6 language 149570 non-null int64 7 category 130751 non-null float64 8 summary 82343 non-null object 9 img_path 149570 non-null object 10 iid 149570 non-null int64 dtypes: float64(2), int64(3), object(6) memory usage: 12.6+ MB
train_context = train_df.merge(users_df, on='uid', how='left').merge(books_df, on='iid', how='left')
test_context = test_df.merge(users_df, on='uid', how='left').merge(books_df, on='iid', how='left')
X_train = train_context.drop(['user_id', 'isbn', 'iid','uid', 'ratings'], axis=1)
y_train = train_context['ratings']
rating_train = train_context[['uid','iid','ratings']]
X_test = test_context.drop(['user_id', 'isbn', 'iid','uid', 'ratings'], axis=1)
y_test = test_context['ratings']
rating_test = test_context[['uid','iid','ratings']]
drop_lst = ['book_title','book_author','img_url','img_path','summary']
X_train.drop(drop_lst,axis=1,inplace=True)
X_test.drop(drop_lst,axis=1,inplace=True)
def modify_range(rating):
if rating < 0:
return 0
elif rating > 10:
return 10
else:
return rating
def rmse(real, predict):
pred = list(map(modify_range, predict))
pred = np.array(pred)
return np.sqrt(np.mean((real-pred) ** 2))
def matrix_rmse(real_mat, predict_mat, test_ind=test_idx):
cost = 0
for i, ind in enumerate(test_ind):
pred = predict_mat[ind]
real = real_mat[ind]
cost += pow(real - modify_range(pred), 2)
return np.sqrt(cost/ len(test_ind))
X_train
| age | location_country | year_of_publication | publisher | language | category | |
|---|---|---|---|---|---|---|
| 0 | 3.0 | 2.0 | 1997.0 | 375 | 0 | 8.000000 |
| 1 | 1.0 | 2.0 | 1986.0 | 451 | 0 | 8.000000 |
| 2 | 5.0 | 2.0 | 1994.0 | 679 | 0 | 5.000000 |
| 3 | 3.0 | 2.0 | 1994.0 | 440 | 0 | 7.000000 |
| 4 | 3.0 | 2.0 | 2000.0 | 14 | 0 | 7.224138 |
| ... | ... | ... | ... | ... | ... | ... |
| 245431 | 3.0 | 3.0 | 2001.0 | 349 | 0 | 6.750000 |
| 245432 | 3.0 | 2.0 | 1983.0 | 345 | 0 | 6.000000 |
| 245433 | 4.0 | 2.0 | 1986.0 | 553 | 0 | 8.000000 |
| 245434 | 3.0 | 3.0 | 2001.0 | 426 | 3 | 8.000000 |
| 245435 | 5.0 | 3.0 | 2003.0 | 571 | 0 | 6.750000 |
245436 rows × 6 columns
from surprise import accuracy, Dataset, SVD
from surprise.model_selection import KFold
import optuna
trials=500
model_params={}
model_scores={}
#SVD
reader = Reader(rating_scale=(1, 10))
train_data = Dataset.load_from_df(train_df[['uid', 'iid', 'ratings']], reader)
test_data = Dataset.load_from_df(test_df[['uid', 'iid', 'ratings']], reader)
fold = DatasetAutoFolds(df = train_df[['uid', 'iid', 'ratings']], reader = reader)
trainset = fold.build_full_trainset()
def svd_objective(trial):
params = {'n_factors':trial.suggest_int('n_factors', 50, 200),
'n_epochs':trial.suggest_int('n_epochs', 10, 150),
'lr_all':trial.suggest_loguniform("lr_all", 0.001, 0.1),
'reg_all':trial.suggest_loguniform('reg_all', 0.01, 0.1),
}
fold = KFold(n_splits=5, shuffle=True, random_state=SEED)
cv_scores = []
svd = SVD(**params,random_state=SEED)
svd.fit(trainset)
uir_tuple = list(zip(test_df['uid'], test_df['iid'],test_df['ratings']))
svd_test = svd.test(uir_tuple)
svd_pred = list(map(lambda x:round(x.est), svd_test))
score = rmse(y_test, svd_pred)
cv_scores.append(score)
print("SVD Classifier: ",score)
return np.mean(cv_scores)
svd_study = optuna.create_study(direction='maximize', sampler=optuna.samplers.TPESampler(seed=SEED))
svd_study.optimize(svd_objective, n_trials=trials)
svd_best = svd_study.best_trial
svd_best_params = svd_best.params
model_scores['svd'] = svd_best.value
model_params['svd'] = svd_best_params
print('score: {0}, params: {1}'.format(svd_best.value, svd_best_params))
[I 2022-11-02 17:44:19,082] A new study created in memory with name: no-name-6e0ccfbc-2128-4b2b-99cf-0a17eeb49e48 [I 2022-11-02 17:44:45,055] Trial 0 finished with value: 2.2184221924763214 and parameters: {'n_factors': 93, 'n_epochs': 104, 'lr_all': 0.0012843500757831465, 'reg_all': 0.015461639312916838}. Best is trial 0 with value: 2.2184221924763214.
SVD Classifier: 2.2184221924763214
[I 2022-11-02 17:45:04,706] Trial 1 finished with value: 2.212323602731479 and parameters: {'n_factors': 150, 'n_epochs': 63, 'lr_all': 0.004464451983251425, 'reg_all': 0.06916649384161133}. Best is trial 0 with value: 2.2184221924763214.
SVD Classifier: 2.212323602731479
[I 2022-11-02 17:45:38,920] Trial 2 finished with value: 2.2696094320472935 and parameters: {'n_factors': 170, 'n_epochs': 105, 'lr_all': 0.09584449931600303, 'reg_all': 0.06855496343839224}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.2696094320472935
[I 2022-11-02 17:45:49,652] Trial 3 finished with value: 2.227425363961006 and parameters: {'n_factors': 76, 'n_epochs': 45, 'lr_all': 0.019127074813559148, 'reg_all': 0.014076726730908193}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.227425363961006
[I 2022-11-02 17:46:07,113] Trial 4 finished with value: 2.2171325156293693 and parameters: {'n_factors': 140, 'n_epochs': 56, 'lr_all': 0.012162731847853712, 'reg_all': 0.017792027825339566}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.2171325156293693
[I 2022-11-02 17:46:33,420] Trial 5 finished with value: 2.243006773341814 and parameters: {'n_factors': 54, 'n_epochs': 130, 'lr_all': 0.01689722400475626, 'reg_all': 0.06687970278465766}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.243006773341814
[I 2022-11-02 17:47:02,635] Trial 6 finished with value: 2.2300176454753315 and parameters: {'n_factors': 200, 'n_epochs': 86, 'lr_all': 0.02188165529889713, 'reg_all': 0.06960331332213389}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.2300176454753315
[I 2022-11-02 17:47:24,152] Trial 7 finished with value: 2.2275095050645946 and parameters: {'n_factors': 176, 'n_epochs': 64, 'lr_all': 0.05348816319486578, 'reg_all': 0.0383048238449557}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.2275095050645946
[I 2022-11-02 17:48:04,533] Trial 8 finished with value: 2.2163862916344272 and parameters: {'n_factors': 183, 'n_epochs': 122, 'lr_all': 0.0035521248941244453, 'reg_all': 0.02968964727126802}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.2163862916344272
[I 2022-11-02 17:48:10,520] Trial 9 finished with value: 2.2121504784716914 and parameters: {'n_factors': 190, 'n_epochs': 12, 'lr_all': 0.01204497863691419, 'reg_all': 0.04468202976678486}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.2121504784716914
[I 2022-11-02 17:48:49,616] Trial 10 finished with value: 2.261567089913315 and parameters: {'n_factors': 121, 'n_epochs': 145, 'lr_all': 0.08503271168825399, 'reg_all': 0.026816687043717008}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.261567089913315
[I 2022-11-02 17:49:25,651] Trial 11 finished with value: 2.262046258005886 and parameters: {'n_factors': 109, 'n_epochs': 140, 'lr_all': 0.09149297756213788, 'reg_all': 0.024600777583642038}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.262046258005886
[I 2022-11-02 17:49:53,528] Trial 12 finished with value: 2.2310040411440104 and parameters: {'n_factors': 113, 'n_epochs': 104, 'lr_all': 0.04744827653480524, 'reg_all': 0.022831494109865895}. Best is trial 2 with value: 2.2696094320472935.
SVD Classifier: 2.2310040411440104
[I 2022-11-02 17:50:34,579] Trial 13 finished with value: 2.2755401742874235 and parameters: {'n_factors': 153, 'n_epochs': 138, 'lr_all': 0.08856193640524054, 'reg_all': 0.09429628440482206}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2755401742874235
[I 2022-11-02 17:51:08,702] Trial 14 finished with value: 2.259288751951522 and parameters: {'n_factors': 160, 'n_epochs': 110, 'lr_all': 0.03936656023087741, 'reg_all': 0.0955492513407635}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.259288751951522
[I 2022-11-02 17:51:35,646] Trial 15 finished with value: 2.2716837246915422 and parameters: {'n_factors': 165, 'n_epochs': 85, 'lr_all': 0.09906182553201288, 'reg_all': 0.09271942186746528}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2716837246915422
[I 2022-11-02 17:52:01,232] Trial 16 finished with value: 2.248511226283992 and parameters: {'n_factors': 137, 'n_epochs': 87, 'lr_all': 0.03292376397121916, 'reg_all': 0.09863284909097225}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.248511226283992
[I 2022-11-02 17:52:11,563] Trial 17 finished with value: 2.218062187216642 and parameters: {'n_factors': 156, 'n_epochs': 28, 'lr_all': 0.058069537681376134, 'reg_all': 0.0492809307072174}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.218062187216642
[I 2022-11-02 17:52:33,805] Trial 18 finished with value: 2.230214959510687 and parameters: {'n_factors': 130, 'n_epochs': 78, 'lr_all': 0.02874344388143182, 'reg_all': 0.050728580011656976}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.230214959510687
[I 2022-11-02 17:53:10,981] Trial 19 finished with value: 2.2182679116620507 and parameters: {'n_factors': 164, 'n_epochs': 120, 'lr_all': 0.006086918516103708, 'reg_all': 0.010113815992129169}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2182679116620507
[I 2022-11-02 17:53:22,976] Trial 20 finished with value: 2.214595064062983 and parameters: {'n_factors': 146, 'n_epochs': 36, 'lr_all': 0.0021755092317701685, 'reg_all': 0.08006092973305358}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.214595064062983
[I 2022-11-02 17:53:53,406] Trial 21 finished with value: 2.2668826944816227 and parameters: {'n_factors': 171, 'n_epochs': 94, 'lr_all': 0.09939327718521067, 'reg_all': 0.057277432935969035}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2668826944816227
[I 2022-11-02 17:54:17,577] Trial 22 finished with value: 2.259973936785782 and parameters: {'n_factors': 170, 'n_epochs': 73, 'lr_all': 0.06481787276379297, 'reg_all': 0.08318409276622049}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.259973936785782
[I 2022-11-02 17:55:01,377] Trial 23 finished with value: 2.2678422763558386 and parameters: {'n_factors': 193, 'n_epochs': 136, 'lr_all': 0.0630716059310121, 'reg_all': 0.08380473976129996}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2678422763558386
[I 2022-11-02 17:55:39,832] Trial 24 finished with value: 2.263461552960597 and parameters: {'n_factors': 181, 'n_epochs': 117, 'lr_all': 0.098072915950367, 'reg_all': 0.03939924838400908}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.263461552960597
[I 2022-11-02 17:56:24,453] Trial 25 finished with value: 2.259973936785782 and parameters: {'n_factors': 153, 'n_epochs': 150, 'lr_all': 0.03692347341370571, 'reg_all': 0.06280056810210294}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.259973936785782
[I 2022-11-02 17:56:55,065] Trial 26 finished with value: 2.2404331580456485 and parameters: {'n_factors': 164, 'n_epochs': 97, 'lr_all': 0.027672354736363425, 'reg_all': 0.079791702633499}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2404331580456485
[I 2022-11-02 17:57:32,394] Trial 27 finished with value: 2.271881006798115 and parameters: {'n_factors': 140, 'n_epochs': 129, 'lr_all': 0.07339369067218962, 'reg_all': 0.09590730438512532}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.271881006798115
[I 2022-11-02 17:58:08,967] Trial 28 finished with value: 2.224306242055305 and parameters: {'n_factors': 130, 'n_epochs': 131, 'lr_all': 0.007660524657948129, 'reg_all': 0.09978920551280888}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.224306242055305
[I 2022-11-02 17:58:39,754] Trial 29 finished with value: 2.2140136152248586 and parameters: {'n_factors': 96, 'n_epochs': 125, 'lr_all': 0.00130958113937958, 'reg_all': 0.05604942519333127}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2140136152248586
[I 2022-11-02 17:59:14,259] Trial 30 finished with value: 2.2550467998886914 and parameters: {'n_factors': 143, 'n_epochs': 116, 'lr_all': 0.070777126231219, 'reg_all': 0.0368497111289872}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2550467998886914
[I 2022-11-02 17:59:47,385] Trial 31 finished with value: 2.259209401336236 and parameters: {'n_factors': 154, 'n_epochs': 107, 'lr_all': 0.04601014322537239, 'reg_all': 0.08515796227028366}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.259209401336236
[I 2022-11-02 18:00:16,486] Trial 32 finished with value: 2.2666094807967516 and parameters: {'n_factors': 135, 'n_epochs': 99, 'lr_all': 0.07194508576673064, 'reg_all': 0.07480616003691477}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2666094807967516
[I 2022-11-02 18:00:53,039] Trial 33 finished with value: 2.270374054518483 and parameters: {'n_factors': 122, 'n_epochs': 135, 'lr_all': 0.07682979469712918, 'reg_all': 0.06122851343189236}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.270374054518483
[I 2022-11-02 18:01:30,819] Trial 34 finished with value: 2.2700007499015347 and parameters: {'n_factors': 118, 'n_epochs': 141, 'lr_all': 0.07025102868790749, 'reg_all': 0.06030211145792305}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2700007499015347
[I 2022-11-02 18:02:04,294] Trial 35 finished with value: 2.266659812107902 and parameters: {'n_factors': 108, 'n_epochs': 130, 'lr_all': 0.04113321039349479, 'reg_all': 0.09221607264425512}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.266659812107902
[I 2022-11-02 18:02:41,667] Trial 36 finished with value: 2.270097671423079 and parameters: {'n_factors': 100, 'n_epochs': 149, 'lr_all': 0.05101279274085976, 'reg_all': 0.07175299337228745}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.270097671423079
[I 2022-11-02 18:03:12,157] Trial 37 finished with value: 2.2496887409631325 and parameters: {'n_factors': 81, 'n_epochs': 132, 'lr_all': 0.02080403772866887, 'reg_all': 0.087817213546732}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2496887409631325
[I 2022-11-02 18:03:28,604] Trial 38 finished with value: 2.2173089259706096 and parameters: {'n_factors': 145, 'n_epochs': 51, 'lr_all': 0.01518322527478301, 'reg_all': 0.06900415357484103}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2173089259706096
[I 2022-11-02 18:03:47,727] Trial 39 finished with value: 2.2625685436843375 and parameters: {'n_factors': 126, 'n_epochs': 66, 'lr_all': 0.07698039525529286, 'reg_all': 0.07518842094241845}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2625685436843375
[I 2022-11-02 18:04:27,708] Trial 40 finished with value: 2.2396655905141447 and parameters: {'n_factors': 135, 'n_epochs': 139, 'lr_all': 0.026868567997922994, 'reg_all': 0.05073193224984002}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2396655905141447
[I 2022-11-02 18:05:05,382] Trial 41 finished with value: 2.269386817473567 and parameters: {'n_factors': 98, 'n_epochs': 149, 'lr_all': 0.05110135694596403, 'reg_all': 0.07138835209411033}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.269386817473567
[I 2022-11-02 18:05:34,797] Trial 42 finished with value: 2.2720459932234225 and parameters: {'n_factors': 76, 'n_epochs': 126, 'lr_all': 0.059567053930822365, 'reg_all': 0.06503072803549372}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.2720459932234225
[I 2022-11-02 18:06:05,510] Trial 43 finished with value: 2.274483526898985 and parameters: {'n_factors': 88, 'n_epochs': 125, 'lr_all': 0.08171885250793101, 'reg_all': 0.06555438979671153}. Best is trial 13 with value: 2.2755401742874235.
SVD Classifier: 2.274483526898985
[I 2022-11-02 18:06:29,945] Trial 44 finished with value: 2.2826267291495936 and parameters: {'n_factors': 61, 'n_epochs': 113, 'lr_all': 0.09955448113569304, 'reg_all': 0.09044051370086227}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2826267291495936
[I 2022-11-02 18:06:53,362] Trial 45 finished with value: 2.248319142328085 and parameters: {'n_factors': 53, 'n_epochs': 112, 'lr_all': 0.05821594852661983, 'reg_all': 0.01852006322589499}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.248319142328085
[I 2022-11-02 18:07:21,100] Trial 46 finished with value: 2.2748954986584167 and parameters: {'n_factors': 65, 'n_epochs': 124, 'lr_all': 0.08558109437941655, 'reg_all': 0.042483469121986285}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2748954986584167
[I 2022-11-02 18:07:48,371] Trial 47 finished with value: 2.2708585410953006 and parameters: {'n_factors': 62, 'n_epochs': 126, 'lr_all': 0.08452930397878776, 'reg_all': 0.03336997399758451}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2708585410953006
[I 2022-11-02 18:08:15,622] Trial 48 finished with value: 2.2577373026547383 and parameters: {'n_factors': 74, 'n_epochs': 116, 'lr_all': 0.05754584071935128, 'reg_all': 0.040529345222488765}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2577373026547383
[I 2022-11-02 18:08:42,221] Trial 49 finished with value: 2.2546709575481434 and parameters: {'n_factors': 64, 'n_epochs': 122, 'lr_all': 0.0446566748893279, 'reg_all': 0.0438084145852691}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2546709575481434
[I 2022-11-02 18:09:15,706] Trial 50 finished with value: 2.2747808705304 and parameters: {'n_factors': 83, 'n_epochs': 143, 'lr_all': 0.08873796088472617, 'reg_all': 0.05435059096076555}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2747808705304
[I 2022-11-02 18:09:49,298] Trial 51 finished with value: 2.2749420646855985 and parameters: {'n_factors': 86, 'n_epochs': 143, 'lr_all': 0.08604220885427483, 'reg_all': 0.04644854397166672}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2749420646855985
[I 2022-11-02 18:10:24,674] Trial 52 finished with value: 2.2737847954985013 and parameters: {'n_factors': 88, 'n_epochs': 144, 'lr_all': 0.081020440142588, 'reg_all': 0.052656465277223556}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2737847954985013
[I 2022-11-02 18:10:55,771] Trial 53 finished with value: 2.275472133815398 and parameters: {'n_factors': 64, 'n_epochs': 144, 'lr_all': 0.09794218691031838, 'reg_all': 0.031062100870191137}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.275472133815398
[I 2022-11-02 18:11:26,530] Trial 54 finished with value: 2.274648324556444 and parameters: {'n_factors': 62, 'n_epochs': 143, 'lr_all': 0.097085744395566, 'reg_all': 0.03130642436322648}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.274648324556444
[I 2022-11-02 18:11:55,115] Trial 55 finished with value: 2.2731073585538066 and parameters: {'n_factors': 70, 'n_epochs': 137, 'lr_all': 0.08592294762647229, 'reg_all': 0.035642384834183215}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2731073585538066
[I 2022-11-02 18:12:24,644] Trial 56 finished with value: 2.2439729337975893 and parameters: {'n_factors': 59, 'n_epochs': 146, 'lr_all': 0.032360274936581, 'reg_all': 0.0276772418736607}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2439729337975893
[I 2022-11-02 18:12:50,224] Trial 57 finished with value: 2.2296046910843166 and parameters: {'n_factors': 50, 'n_epochs': 136, 'lr_all': 0.0031751210948221865, 'reg_all': 0.04583058387286373}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2296046910843166
[I 2022-11-02 18:13:20,219] Trial 58 finished with value: 2.2656961328498566 and parameters: {'n_factors': 67, 'n_epochs': 142, 'lr_all': 0.09941188320197179, 'reg_all': 0.021721769805061165}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2656961328498566
[I 2022-11-02 18:13:50,253] Trial 59 finished with value: 2.2671486866960175 and parameters: {'n_factors': 81, 'n_epochs': 133, 'lr_all': 0.06534274148004149, 'reg_all': 0.04203642253130616}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2671486866960175
[I 2022-11-02 18:14:15,696] Trial 60 finished with value: 2.2394982185883694 and parameters: {'n_factors': 82, 'n_epochs': 113, 'lr_all': 0.03547205439991433, 'reg_all': 0.03404819047485721}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2394982185883694
[I 2022-11-02 18:14:44,199] Trial 61 finished with value: 2.278188590803706 and parameters: {'n_factors': 58, 'n_epochs': 143, 'lr_all': 0.09867011349078161, 'reg_all': 0.03238993161653004}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.278188590803706
[I 2022-11-02 18:15:13,092] Trial 62 finished with value: 2.2714756631810666 and parameters: {'n_factors': 59, 'n_epochs': 140, 'lr_all': 0.08699778829607903, 'reg_all': 0.02890176856869221}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2714756631810666
[I 2022-11-02 18:15:45,314] Trial 63 finished with value: 2.2576578975101746 and parameters: {'n_factors': 72, 'n_epochs': 150, 'lr_all': 0.06483424696012483, 'reg_all': 0.025714730284999914}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2576578975101746
[I 2022-11-02 18:16:16,321] Trial 64 finished with value: 2.267698544630708 and parameters: {'n_factors': 69, 'n_epochs': 145, 'lr_all': 0.05307494489029576, 'reg_all': 0.04679137381128755}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.267698544630708
[I 2022-11-02 18:16:40,581] Trial 65 finished with value: 2.2694550403893095 and parameters: {'n_factors': 56, 'n_epochs': 119, 'lr_all': 0.0875941560675356, 'reg_all': 0.03133281812677671}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2694550403893095
[I 2022-11-02 18:17:08,027] Trial 66 finished with value: 2.2308981158490004 and parameters: {'n_factors': 50, 'n_epochs': 138, 'lr_all': 0.00996734005584817, 'reg_all': 0.03841690026686324}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2308981158490004
[I 2022-11-02 18:17:12,053] Trial 67 finished with value: 2.227498530318285 and parameters: {'n_factors': 65, 'n_epochs': 13, 'lr_all': 0.07253134379077085, 'reg_all': 0.022121596869797432}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.227498530318285
[I 2022-11-02 18:17:41,877] Trial 68 finished with value: 2.2416149161177397 and parameters: {'n_factors': 77, 'n_epochs': 130, 'lr_all': 0.04594068906527972, 'reg_all': 0.023596752404524725}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2416149161177397
[I 2022-11-02 18:18:17,229] Trial 69 finished with value: 2.249840867123321 and parameters: {'n_factors': 89, 'n_epochs': 147, 'lr_all': 0.09798532257623836, 'reg_all': 0.013604384827958308}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.249840867123321
[I 2022-11-02 18:18:45,757] Trial 70 finished with value: 2.2749241547879455 and parameters: {'n_factors': 57, 'n_epochs': 135, 'lr_all': 0.06610989291000173, 'reg_all': 0.0553673299714201}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2749241547879455
[I 2022-11-02 18:19:13,240] Trial 71 finished with value: 2.274544431772031 and parameters: {'n_factors': 54, 'n_epochs': 135, 'lr_all': 0.06599875310122842, 'reg_all': 0.05539914979584407}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.274544431772031
[I 2022-11-02 18:19:43,018] Trial 72 finished with value: 2.276846872847136 and parameters: {'n_factors': 57, 'n_epochs': 141, 'lr_all': 0.07912251722906964, 'reg_all': 0.049124277454163846}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.276846872847136
[I 2022-11-02 18:20:09,434] Trial 73 finished with value: 2.275565241316911 and parameters: {'n_factors': 58, 'n_epochs': 127, 'lr_all': 0.07859360253781997, 'reg_all': 0.04714438350210099}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.275565241316911
[I 2022-11-02 18:20:37,936] Trial 74 finished with value: 2.2726054232176685 and parameters: {'n_factors': 60, 'n_epochs': 133, 'lr_all': 0.07294291538885268, 'reg_all': 0.0493736283616294}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2726054232176685
[I 2022-11-02 18:21:04,964] Trial 75 finished with value: 2.272537294878287 and parameters: {'n_factors': 58, 'n_epochs': 128, 'lr_all': 0.05346876914451511, 'reg_all': 0.057987495747173996}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.272537294878287
[I 2022-11-02 18:21:32,180] Trial 76 finished with value: 2.2788359106735943 and parameters: {'n_factors': 55, 'n_epochs': 139, 'lr_all': 0.07697013120439113, 'reg_all': 0.045818555618147745}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2788359106735943
[I 2022-11-02 18:21:58,521] Trial 77 finished with value: 2.2773228259456832 and parameters: {'n_factors': 50, 'n_epochs': 140, 'lr_all': 0.07641115258020699, 'reg_all': 0.03627178111732938}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2773228259456832
[I 2022-11-02 18:22:25,937] Trial 78 finished with value: 2.2707724177031734 and parameters: {'n_factors': 53, 'n_epochs': 140, 'lr_all': 0.06036686212860617, 'reg_all': 0.03718556386189329}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2707724177031734
[I 2022-11-02 18:22:49,005] Trial 79 finished with value: 2.2740069795309323 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.07639728495221455, 'reg_all': 0.034308801411073314}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.2740069795309323
[I 2022-11-02 18:23:16,759] Trial 80 finished with value: 2.24476806957307 and parameters: {'n_factors': 69, 'n_epochs': 129, 'lr_all': 0.04251088835581364, 'reg_all': 0.029597620315755274}. Best is trial 44 with value: 2.2826267291495936.
SVD Classifier: 2.24476806957307
[I 2022-11-02 18:23:46,199] Trial 81 finished with value: 2.2837402683448196 and parameters: {'n_factors': 55, 'n_epochs': 145, 'lr_all': 0.09956493659383525, 'reg_all': 0.04035695542355447}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2837402683448196
[I 2022-11-02 18:24:15,224] Trial 82 finished with value: 2.2836403575180237 and parameters: {'n_factors': 55, 'n_epochs': 146, 'lr_all': 0.09814449456650105, 'reg_all': 0.03972911707120884}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2836403575180237
[I 2022-11-02 18:24:44,667] Trial 83 finished with value: 2.2791791659348317 and parameters: {'n_factors': 55, 'n_epochs': 150, 'lr_all': 0.07677386318231957, 'reg_all': 0.039688157851127594}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2791791659348317
[I 2022-11-02 18:25:13,792] Trial 84 finished with value: 2.2732184863908445 and parameters: {'n_factors': 56, 'n_epochs': 148, 'lr_all': 0.07250015122281547, 'reg_all': 0.04030546404447839}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2732184863908445
[I 2022-11-02 18:25:42,656] Trial 85 finished with value: 2.27281338130585 and parameters: {'n_factors': 54, 'n_epochs': 150, 'lr_all': 0.07859935665730851, 'reg_all': 0.035958425631433866}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.27281338130585
[I 2022-11-02 18:26:11,229] Trial 86 finished with value: 2.268754760315393 and parameters: {'n_factors': 62, 'n_epochs': 139, 'lr_all': 0.05696975588983695, 'reg_all': 0.04374410436944043}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.268754760315393
[I 2022-11-02 18:26:38,495] Trial 87 finished with value: 2.264390196911385 and parameters: {'n_factors': 50, 'n_epochs': 146, 'lr_all': 0.04994051204489977, 'reg_all': 0.03843111170404585}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.264390196911385
[I 2022-11-02 18:27:06,591] Trial 88 finished with value: 2.270743709179923 and parameters: {'n_factors': 67, 'n_epochs': 132, 'lr_all': 0.08004847678074706, 'reg_all': 0.04135000786638958}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.270743709179923
[I 2022-11-02 18:27:30,298] Trial 89 finished with value: 2.271389563188117 and parameters: {'n_factors': 75, 'n_epochs': 107, 'lr_all': 0.09170658360782405, 'reg_all': 0.04750772658428069}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.271389563188117
[I 2022-11-02 18:27:58,751] Trial 90 finished with value: 2.2297618420348817 and parameters: {'n_factors': 60, 'n_epochs': 141, 'lr_all': 0.004614495562307878, 'reg_all': 0.03384238379852725}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2297618420348817
[I 2022-11-02 18:28:17,010] Trial 91 finished with value: 2.2613544941133714 and parameters: {'n_factors': 54, 'n_epochs': 91, 'lr_all': 0.06728505836090944, 'reg_all': 0.05117859101132909}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2613544941133714
[I 2022-11-02 18:28:45,521] Trial 92 finished with value: 2.281401922642974 and parameters: {'n_factors': 56, 'n_epochs': 146, 'lr_all': 0.090262392220797, 'reg_all': 0.08757156736192083}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.281401922642974
[I 2022-11-02 18:29:15,540] Trial 93 finished with value: 2.282034047738064 and parameters: {'n_factors': 61, 'n_epochs': 146, 'lr_all': 0.0908470325733543, 'reg_all': 0.09043159035082325}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.282034047738064
[I 2022-11-02 18:29:46,040] Trial 94 finished with value: 2.279740419932675 and parameters: {'n_factors': 62, 'n_epochs': 146, 'lr_all': 0.09955902640785715, 'reg_all': 0.08933639609052647}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.279740419932675
[I 2022-11-02 18:30:16,663] Trial 95 finished with value: 2.279740419932675 and parameters: {'n_factors': 62, 'n_epochs': 147, 'lr_all': 0.09944949157725343, 'reg_all': 0.09002580778671804}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.279740419932675
[I 2022-11-02 18:30:48,821] Trial 96 finished with value: 2.2801943268695917 and parameters: {'n_factors': 73, 'n_epochs': 148, 'lr_all': 0.09956314352799875, 'reg_all': 0.08743485476433595}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2801943268695917
[I 2022-11-02 18:31:20,296] Trial 97 finished with value: 2.278603468898729 and parameters: {'n_factors': 71, 'n_epochs': 146, 'lr_all': 0.0899255247559203, 'reg_all': 0.07594968755523154}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.278603468898729
[I 2022-11-02 18:31:51,390] Trial 98 finished with value: 2.281273333391489 and parameters: {'n_factors': 66, 'n_epochs': 148, 'lr_all': 0.09106777166725645, 'reg_all': 0.09019353212619269}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.281273333391489
[I 2022-11-02 18:32:08,845] Trial 99 finished with value: 2.208858539426561 and parameters: {'n_factors': 66, 'n_epochs': 80, 'lr_all': 0.0010447375502611708, 'reg_all': 0.09262280694816781}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.208858539426561
[I 2022-11-02 18:32:38,619] Trial 100 finished with value: 2.2823625407855253 and parameters: {'n_factors': 61, 'n_epochs': 148, 'lr_all': 0.09071296381217042, 'reg_all': 0.08877653844798221}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2823625407855253
[I 2022-11-02 18:33:11,466] Trial 101 finished with value: 2.2775732876265007 and parameters: {'n_factors': 78, 'n_epochs': 148, 'lr_all': 0.09227588280424011, 'reg_all': 0.08738889012316009}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2775732876265007
[I 2022-11-02 18:33:41,772] Trial 102 finished with value: 2.27886094145062 and parameters: {'n_factors': 62, 'n_epochs': 147, 'lr_all': 0.09040160458181329, 'reg_all': 0.0815877757988735}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.27886094145062
[I 2022-11-02 18:34:14,277] Trial 103 finished with value: 2.2807803407661464 and parameters: {'n_factors': 73, 'n_epochs': 150, 'lr_all': 0.09946375629675147, 'reg_all': 0.08946477900515348}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2807803407661464
[I 2022-11-02 18:34:46,060] Trial 104 finished with value: 2.2794830467197875 and parameters: {'n_factors': 73, 'n_epochs': 145, 'lr_all': 0.09344980056778071, 'reg_all': 0.08868961066739732}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2794830467197875
[I 2022-11-02 18:35:15,115] Trial 105 finished with value: 2.281741220596069 and parameters: {'n_factors': 68, 'n_epochs': 137, 'lr_all': 0.08596776275031207, 'reg_all': 0.09813857979265517}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.281741220596069
[I 2022-11-02 18:35:45,856] Trial 106 finished with value: 2.2768790833381485 and parameters: {'n_factors': 69, 'n_epochs': 143, 'lr_all': 0.06156046291543188, 'reg_all': 0.09792118267914182}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2768790833381485
[I 2022-11-02 18:36:19,439] Trial 107 finished with value: 2.277151064871479 and parameters: {'n_factors': 78, 'n_epochs': 150, 'lr_all': 0.08501194819885749, 'reg_all': 0.07927491669353384}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.277151064871479
[I 2022-11-02 18:36:47,992] Trial 108 finished with value: 2.2768933989656666 and parameters: {'n_factors': 67, 'n_epochs': 136, 'lr_all': 0.06930913954063274, 'reg_all': 0.08483083292599365}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2768933989656666
[I 2022-11-02 18:37:20,107] Trial 109 finished with value: 2.2773764986247245 and parameters: {'n_factors': 74, 'n_epochs': 147, 'lr_all': 0.08465283809337451, 'reg_all': 0.09491618547211228}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2773764986247245
[I 2022-11-02 18:37:54,425] Trial 110 finished with value: 2.211992076322367 and parameters: {'n_factors': 105, 'n_epochs': 134, 'lr_all': 0.002114300900231739, 'reg_all': 0.0775111354394834}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.211992076322367
[I 2022-11-02 18:38:24,470] Trial 111 finished with value: 2.2828730394038694 and parameters: {'n_factors': 64, 'n_epochs': 145, 'lr_all': 0.09585238365252886, 'reg_all': 0.0912911975211135}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2828730394038694
[I 2022-11-02 18:38:54,472] Trial 112 finished with value: 2.282316126158099 and parameters: {'n_factors': 64, 'n_epochs': 144, 'lr_all': 0.09970362330920973, 'reg_all': 0.07210643240804523}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.282316126158099
[I 2022-11-02 18:39:23,060] Trial 113 finished with value: 2.2810197055656705 and parameters: {'n_factors': 65, 'n_epochs': 137, 'lr_all': 0.09102459568096907, 'reg_all': 0.07317452247961974}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2810197055656705
[I 2022-11-02 18:39:51,996] Trial 114 finished with value: 2.278245819860275 and parameters: {'n_factors': 65, 'n_epochs': 137, 'lr_all': 0.06970762520701479, 'reg_all': 0.07246668843174704}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.278245819860275
[I 2022-11-02 18:40:08,412] Trial 115 finished with value: 2.275683410736792 and parameters: {'n_factors': 68, 'n_epochs': 74, 'lr_all': 0.08373776192221292, 'reg_all': 0.0968373338567546}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.275683410736792
[I 2022-11-02 18:40:38,222] Trial 116 finished with value: 2.2823911031640214 and parameters: {'n_factors': 63, 'n_epochs': 144, 'lr_all': 0.08813148104431327, 'reg_all': 0.0995204725483289}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2823911031640214
[I 2022-11-02 18:41:07,590] Trial 117 finished with value: 2.2814947881506 and parameters: {'n_factors': 64, 'n_epochs': 143, 'lr_all': 0.08846262935901736, 'reg_all': 0.0832498264349205}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2814947881506
[I 2022-11-02 18:41:37,501] Trial 118 finished with value: 2.277183271059731 and parameters: {'n_factors': 60, 'n_epochs': 144, 'lr_all': 0.06303482941648365, 'reg_all': 0.08360735799054307}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.277183271059731
[I 2022-11-02 18:42:06,007] Trial 119 finished with value: 2.2664764569512106 and parameters: {'n_factors': 52, 'n_epochs': 142, 'lr_all': 0.024251579671111405, 'reg_all': 0.09937274879659577}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2664764569512106
[I 2022-11-02 18:42:28,251] Trial 120 finished with value: 2.2785283672573304 and parameters: {'n_factors': 63, 'n_epochs': 101, 'lr_all': 0.0834593620310731, 'reg_all': 0.0806428530610593}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2785283672573304
[I 2022-11-02 18:42:58,136] Trial 121 finished with value: 2.280526658112358 and parameters: {'n_factors': 65, 'n_epochs': 137, 'lr_all': 0.08720510998441779, 'reg_all': 0.06953120579342516}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.280526658112358
[I 2022-11-02 18:43:29,454] Trial 122 finished with value: 2.246861669003578 and parameters: {'n_factors': 70, 'n_epochs': 142, 'lr_all': 0.014307951731194504, 'reg_all': 0.0940797847723038}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.246861669003578
[I 2022-11-02 18:43:58,528] Trial 123 finished with value: 2.28162693639472 and parameters: {'n_factors': 58, 'n_epochs': 138, 'lr_all': 0.07138029960810742, 'reg_all': 0.08408915767214072}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.28162693639472
[I 2022-11-02 18:44:26,761] Trial 124 finished with value: 2.2785212145909517 and parameters: {'n_factors': 59, 'n_epochs': 132, 'lr_all': 0.07319296660910313, 'reg_all': 0.09210769495112724}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2785212145909517
[I 2022-11-02 18:44:55,677] Trial 125 finished with value: 2.2796582066482056 and parameters: {'n_factors': 57, 'n_epochs': 139, 'lr_all': 0.06851745497996106, 'reg_all': 0.08311116704206575}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.2796582066482056
[I 2022-11-02 18:45:26,413] Trial 126 finished with value: 2.275951954782332 and parameters: {'n_factors': 60, 'n_epochs': 144, 'lr_all': 0.0583222340296884, 'reg_all': 0.08516823863450317}. Best is trial 81 with value: 2.2837402683448196.
SVD Classifier: 2.275951954782332
[I 2022-11-02 18:45:55,452] Trial 127 finished with value: 2.2850922030072933 and parameters: {'n_factors': 53, 'n_epochs': 140, 'lr_all': 0.07918669191022021, 'reg_all': 0.07936511523175406}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2850922030072933
[I 2022-11-02 18:46:23,862] Trial 128 finished with value: 2.2786177736926354 and parameters: {'n_factors': 54, 'n_epochs': 139, 'lr_all': 0.08011390024924006, 'reg_all': 0.07791558980582292}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2786177736926354
[I 2022-11-02 18:46:36,576] Trial 129 finished with value: 2.2737453734831092 and parameters: {'n_factors': 52, 'n_epochs': 60, 'lr_all': 0.07542664259340884, 'reg_all': 0.09957667059008464}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2737453734831092
[I 2022-11-02 18:46:46,060] Trial 130 finished with value: 2.243511698566045 and parameters: {'n_factors': 60, 'n_epochs': 40, 'lr_all': 0.06484197325459153, 'reg_all': 0.06555588746581824}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.243511698566045
[I 2022-11-02 18:47:15,870] Trial 131 finished with value: 2.2819054941079027 and parameters: {'n_factors': 56, 'n_epochs': 144, 'lr_all': 0.09099355762939891, 'reg_all': 0.09430841707969395}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2819054941079027
[I 2022-11-02 18:47:45,656] Trial 132 finished with value: 2.280558816630281 and parameters: {'n_factors': 56, 'n_epochs': 142, 'lr_all': 0.08977032138380635, 'reg_all': 0.08077469989065893}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.280558816630281
[I 2022-11-02 18:48:15,040] Trial 133 finished with value: 2.2810268503974758 and parameters: {'n_factors': 63, 'n_epochs': 134, 'lr_all': 0.0811003073456903, 'reg_all': 0.09562451985508134}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2810268503974758
[I 2022-11-02 18:48:44,869] Trial 134 finished with value: 2.2804551931155803 and parameters: {'n_factors': 57, 'n_epochs': 144, 'lr_all': 0.07151637650148557, 'reg_all': 0.0856276452766248}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2804551931155803
[I 2022-11-02 18:49:13,464] Trial 135 finished with value: 2.2803658587200855 and parameters: {'n_factors': 54, 'n_epochs': 140, 'lr_all': 0.0912720738691238, 'reg_all': 0.07667272293693438}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2803658587200855
[I 2022-11-02 18:49:39,959] Trial 136 finished with value: 2.281387635306284 and parameters: {'n_factors': 51, 'n_epochs': 131, 'lr_all': 0.0805578321712456, 'reg_all': 0.09289207208257778}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.281387635306284
[I 2022-11-02 18:50:11,076] Trial 137 finished with value: 2.275611793639095 and parameters: {'n_factors': 62, 'n_epochs': 145, 'lr_all': 0.05624032894688525, 'reg_all': 0.08263369289334332}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.275611793639095
[I 2022-11-02 18:50:39,928] Trial 138 finished with value: 2.2844181192408777 and parameters: {'n_factors': 58, 'n_epochs': 136, 'lr_all': 0.09976329376516363, 'reg_all': 0.09994492408001558}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2844181192408777
[I 2022-11-02 18:51:10,164] Trial 139 finished with value: 2.279129111095746 and parameters: {'n_factors': 70, 'n_epochs': 135, 'lr_all': 0.08314562227206237, 'reg_all': 0.09928834800878818}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.279129111095746
[I 2022-11-02 18:51:47,893] Trial 140 finished with value: 2.276188247334436 and parameters: {'n_factors': 115, 'n_epochs': 141, 'lr_all': 0.09528827664565741, 'reg_all': 0.09295788191758753}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.276188247334436
[I 2022-11-02 18:52:17,541] Trial 141 finished with value: 2.2815233613924866 and parameters: {'n_factors': 60, 'n_epochs': 145, 'lr_all': 0.09965125702867116, 'reg_all': 0.08683088881483668}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2815233613924866
[I 2022-11-02 18:52:45,413] Trial 142 finished with value: 2.2813947789858133 and parameters: {'n_factors': 59, 'n_epochs': 139, 'lr_all': 0.09365291901917837, 'reg_all': 0.09449066794902593}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2813947789858133
[I 2022-11-02 18:53:13,407] Trial 143 finished with value: 2.2826945563639933 and parameters: {'n_factors': 63, 'n_epochs': 137, 'lr_all': 0.09849904547856672, 'reg_all': 0.08618864197305709}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.2826945563639933
[I 2022-11-02 18:53:41,724] Trial 144 finished with value: 2.281180458868571 and parameters: {'n_factors': 60, 'n_epochs': 136, 'lr_all': 0.09964876104646972, 'reg_all': 0.08992136515257758}. Best is trial 127 with value: 2.2850922030072933.
SVD Classifier: 2.281180458868571
[I 2022-11-02 18:54:11,053] Trial 145 finished with value: 2.2871061364474277 and parameters: {'n_factors': 53, 'n_epochs': 150, 'lr_all': 0.09957379160623822, 'reg_all': 0.07547058680136733}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2871061364474277
[I 2022-11-02 18:54:36,738] Trial 146 finished with value: 2.282769520940468 and parameters: {'n_factors': 52, 'n_epochs': 128, 'lr_all': 0.07599409377347771, 'reg_all': 0.09986155573139122}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.282769520940468
[I 2022-11-02 18:55:02,634] Trial 147 finished with value: 2.284721303215681 and parameters: {'n_factors': 53, 'n_epochs': 131, 'lr_all': 0.07875819738192681, 'reg_all': 0.09647762643841275}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.284721303215681
[I 2022-11-02 18:55:27,695] Trial 148 finished with value: 2.2829979692293505 and parameters: {'n_factors': 52, 'n_epochs': 128, 'lr_all': 0.07937619013553343, 'reg_all': 0.09995261564292089}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2829979692293505
[I 2022-11-02 18:55:50,943] Trial 149 finished with value: 2.285049409949978 and parameters: {'n_factors': 50, 'n_epochs': 124, 'lr_all': 0.07783463511136554, 'reg_all': 0.09972607653736482}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.285049409949978
[I 2022-11-02 18:56:14,636] Trial 150 finished with value: 2.2848532648490067 and parameters: {'n_factors': 50, 'n_epochs': 125, 'lr_all': 0.07667630526526507, 'reg_all': 0.09999217048093902}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2848532648490067
[I 2022-11-02 18:56:37,390] Trial 151 finished with value: 2.2849566889097597 and parameters: {'n_factors': 50, 'n_epochs': 119, 'lr_all': 0.07837756339368691, 'reg_all': 0.09862159932260718}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2849566889097597
[I 2022-11-02 18:57:00,642] Trial 152 finished with value: 2.2368076354742725 and parameters: {'n_factors': 53, 'n_epochs': 120, 'lr_all': 0.009236272773896678, 'reg_all': 0.09997745125172701}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2368076354742725
[I 2022-11-02 18:57:22,343] Trial 153 finished with value: 2.284475192239712 and parameters: {'n_factors': 50, 'n_epochs': 114, 'lr_all': 0.07571066738425114, 'reg_all': 0.09995697730200978}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.284475192239712
[I 2022-11-02 18:57:44,134] Trial 154 finished with value: 2.280769622351706 and parameters: {'n_factors': 50, 'n_epochs': 114, 'lr_all': 0.06221120078706778, 'reg_all': 0.0999406895403562}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.280769622351706
[I 2022-11-02 18:58:07,405] Trial 155 finished with value: 2.2810125607114853 and parameters: {'n_factors': 51, 'n_epochs': 122, 'lr_all': 0.07647569385799899, 'reg_all': 0.09515550212399496}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2810125607114853
[I 2022-11-02 18:58:31,655] Trial 156 finished with value: 2.240531358610576 and parameters: {'n_factors': 50, 'n_epochs': 124, 'lr_all': 0.0660581483006774, 'reg_all': 0.010368809161001202}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.240531358610576
[I 2022-11-02 18:58:56,780] Trial 157 finished with value: 2.283932941168278 and parameters: {'n_factors': 53, 'n_epochs': 125, 'lr_all': 0.07575802549345592, 'reg_all': 0.09501317455393532}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.283932941168278
[I 2022-11-02 18:59:20,133] Trial 158 finished with value: 2.2766142279919874 and parameters: {'n_factors': 53, 'n_epochs': 116, 'lr_all': 0.04944114996650708, 'reg_all': 0.09302163737100495}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2766142279919874
[I 2022-11-02 18:59:43,785] Trial 159 finished with value: 2.253185044096629 and parameters: {'n_factors': 53, 'n_epochs': 119, 'lr_all': 0.07476706958235045, 'reg_all': 0.01927861322016501}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.253185044096629
[I 2022-11-02 19:00:08,764] Trial 160 finished with value: 2.285463042606878 and parameters: {'n_factors': 50, 'n_epochs': 127, 'lr_all': 0.07916684339062548, 'reg_all': 0.09128302582474755}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.285463042606878
[I 2022-11-02 19:00:34,290] Trial 161 finished with value: 2.278632078396739 and parameters: {'n_factors': 56, 'n_epochs': 126, 'lr_all': 0.07871050590277258, 'reg_all': 0.09089515250800541}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.278632078396739
[I 2022-11-02 19:00:59,737] Trial 162 finished with value: 2.283772381610885 and parameters: {'n_factors': 50, 'n_epochs': 128, 'lr_all': 0.06883994884324333, 'reg_all': 0.09529857609397803}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.283772381610885
[I 2022-11-02 19:01:25,779] Trial 163 finished with value: 2.2836510624585453 and parameters: {'n_factors': 50, 'n_epochs': 129, 'lr_all': 0.06859172286548343, 'reg_all': 0.09463215090214273}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2836510624585453
[I 2022-11-02 19:01:50,145] Trial 164 finished with value: 2.2827588118659796 and parameters: {'n_factors': 50, 'n_epochs': 123, 'lr_all': 0.0672378566027339, 'reg_all': 0.09521602441074212}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2827588118659796
[I 2022-11-02 19:02:16,337] Trial 165 finished with value: 2.2796582066482056 and parameters: {'n_factors': 53, 'n_epochs': 129, 'lr_all': 0.05498399814711872, 'reg_all': 0.09562955331966072}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2796582066482056
[I 2022-11-02 19:02:41,817] Trial 166 finished with value: 2.280769622351706 and parameters: {'n_factors': 50, 'n_epochs': 127, 'lr_all': 0.06072159395112036, 'reg_all': 0.0915462331586185}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.280769622351706
[I 2022-11-02 19:03:07,213] Trial 167 finished with value: 2.2783888862126718 and parameters: {'n_factors': 54, 'n_epochs': 125, 'lr_all': 0.07023541358576697, 'reg_all': 0.09749500958012743}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2783888862126718
[I 2022-11-02 19:03:31,644] Trial 168 finished with value: 2.277469528272003 and parameters: {'n_factors': 54, 'n_epochs': 118, 'lr_all': 0.07381793216074281, 'reg_all': 0.08834584294863944}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.277469528272003
[I 2022-11-02 19:03:57,254] Trial 169 finished with value: 2.28163407932501 and parameters: {'n_factors': 50, 'n_epochs': 128, 'lr_all': 0.06292103367137512, 'reg_all': 0.09508720659661547}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.28163407932501
[I 2022-11-02 19:04:24,201] Trial 170 finished with value: 2.2793078733307044 and parameters: {'n_factors': 56, 'n_epochs': 131, 'lr_all': 0.07974237688392244, 'reg_all': 0.09913173042336725}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2793078733307044
[I 2022-11-02 19:04:47,428] Trial 171 finished with value: 2.282262569645819 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.0663294954734855, 'reg_all': 0.09495364522987079}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.282262569645819
[I 2022-11-02 19:05:11,571] Trial 172 finished with value: 2.2815126464687143 and parameters: {'n_factors': 53, 'n_epochs': 123, 'lr_all': 0.06716841114629941, 'reg_all': 0.09251905267879684}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2815126464687143
[I 2022-11-02 19:05:37,323] Trial 173 finished with value: 2.2782493966285786 and parameters: {'n_factors': 56, 'n_epochs': 129, 'lr_all': 0.07288943144277842, 'reg_all': 0.09992240230451928}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2782493966285786
[I 2022-11-02 19:06:01,629] Trial 174 finished with value: 2.285566439074606 and parameters: {'n_factors': 50, 'n_epochs': 124, 'lr_all': 0.08099385695722512, 'reg_all': 0.08930386476577967}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.285566439074606
[I 2022-11-02 19:06:27,500] Trial 175 finished with value: 2.2848389990939197 and parameters: {'n_factors': 53, 'n_epochs': 127, 'lr_all': 0.08204178137507309, 'reg_all': 0.08765632187884262}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2848389990939197
[I 2022-11-02 19:06:51,602] Trial 176 finished with value: 2.284082786572219 and parameters: {'n_factors': 55, 'n_epochs': 119, 'lr_all': 0.08124358778934794, 'reg_all': 0.08005918137484343}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.284082786572219
[I 2022-11-02 19:07:14,067] Trial 177 finished with value: 2.2822375761766525 and parameters: {'n_factors': 55, 'n_epochs': 110, 'lr_all': 0.07769879295806671, 'reg_all': 0.07857791954661042}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2822375761766525
[I 2022-11-02 19:07:36,973] Trial 178 finished with value: 2.284981652636867 and parameters: {'n_factors': 50, 'n_epochs': 116, 'lr_all': 0.08290618191937754, 'reg_all': 0.08581373442493587}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.284981652636867
[I 2022-11-02 19:08:00,562] Trial 179 finished with value: 2.223884898722214 and parameters: {'n_factors': 57, 'n_epochs': 116, 'lr_all': 0.005790594974251004, 'reg_all': 0.08049515216032721}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.223884898722214
[I 2022-11-02 19:08:24,259] Trial 180 finished with value: 2.279300723110491 and parameters: {'n_factors': 50, 'n_epochs': 120, 'lr_all': 0.05836271550989439, 'reg_all': 0.08634558337309506}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.279300723110491
[I 2022-11-02 19:08:46,635] Trial 181 finished with value: 2.283187135666191 and parameters: {'n_factors': 53, 'n_epochs': 110, 'lr_all': 0.08236893424577565, 'reg_all': 0.08623610358513521}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.283187135666191
[I 2022-11-02 19:09:09,295] Trial 182 finished with value: 2.278410345390709 and parameters: {'n_factors': 54, 'n_epochs': 113, 'lr_all': 0.08347091150866254, 'reg_all': 0.07483146196780269}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.278410345390709
[I 2022-11-02 19:09:33,612] Trial 183 finished with value: 2.28065886245285 and parameters: {'n_factors': 57, 'n_epochs': 118, 'lr_all': 0.08429297184359816, 'reg_all': 0.08309236489066942}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.28065886245285
[I 2022-11-02 19:09:58,112] Trial 184 finished with value: 2.2821161754328085 and parameters: {'n_factors': 53, 'n_epochs': 121, 'lr_all': 0.07169418907575623, 'reg_all': 0.08645629346373765}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2821161754328085
[I 2022-11-02 19:10:19,705] Trial 185 finished with value: 2.284139867949893 and parameters: {'n_factors': 53, 'n_epochs': 110, 'lr_all': 0.08381271746869277, 'reg_all': 0.08865651871672042}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.284139867949893
[I 2022-11-02 19:10:44,003] Trial 186 finished with value: 2.285555743105204 and parameters: {'n_factors': 50, 'n_epochs': 125, 'lr_all': 0.08338699215037564, 'reg_all': 0.09020226316544812}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.285555743105204
[I 2022-11-02 19:11:08,317] Trial 187 finished with value: 2.2834690716445287 and parameters: {'n_factors': 50, 'n_epochs': 124, 'lr_all': 0.0713699121300397, 'reg_all': 0.08967528334556782}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2834690716445287
[I 2022-11-02 19:11:32,654] Trial 188 finished with value: 2.280551670332154 and parameters: {'n_factors': 50, 'n_epochs': 125, 'lr_all': 0.06282991017205734, 'reg_all': 0.08095944776292702}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.280551670332154
[I 2022-11-02 19:11:56,899] Trial 189 finished with value: 2.2830657854146414 and parameters: {'n_factors': 58, 'n_epochs': 116, 'lr_all': 0.08547296410855068, 'reg_all': 0.09125436059332356}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2830657854146414
[I 2022-11-02 19:12:24,378] Trial 190 finished with value: 2.285035145419449 and parameters: {'n_factors': 55, 'n_epochs': 132, 'lr_all': 0.08241292780861906, 'reg_all': 0.07834463427744391}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.285035145419449
[I 2022-11-02 19:12:50,900] Trial 191 finished with value: 2.250289941498358 and parameters: {'n_factors': 55, 'n_epochs': 131, 'lr_all': 0.018046540108511255, 'reg_all': 0.0754620552216316}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.250289941498358
[I 2022-11-02 19:13:16,259] Trial 192 finished with value: 2.284803334316513 and parameters: {'n_factors': 53, 'n_epochs': 126, 'lr_all': 0.08146992736656963, 'reg_all': 0.08855267286213375}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.284803334316513
[I 2022-11-02 19:13:42,079] Trial 193 finished with value: 2.281098297484685 and parameters: {'n_factors': 57, 'n_epochs': 126, 'lr_all': 0.08264851098183419, 'reg_all': 0.0775723362229711}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.281098297484685
[I 2022-11-02 19:14:02,737] Trial 194 finished with value: 2.2808625136034912 and parameters: {'n_factors': 53, 'n_epochs': 106, 'lr_all': 0.07561158723690972, 'reg_all': 0.06942217386539766}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2808625136034912
[I 2022-11-02 19:14:27,176] Trial 195 finished with value: 2.283322754785853 and parameters: {'n_factors': 58, 'n_epochs': 121, 'lr_all': 0.08831329466439863, 'reg_all': 0.08327199940057053}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.283322754785853
[I 2022-11-02 19:14:53,063] Trial 196 finished with value: 2.284935291212305 and parameters: {'n_factors': 53, 'n_epochs': 133, 'lr_all': 0.08081891696337049, 'reg_all': 0.08865486694864128}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.284935291212305
[I 2022-11-02 19:15:35,278] Trial 197 finished with value: 2.2701515149248213 and parameters: {'n_factors': 198, 'n_epochs': 132, 'lr_all': 0.0778382488653459, 'reg_all': 0.08827745256289603}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2701515149248213
[I 2022-11-02 19:16:00,282] Trial 198 finished with value: 2.2848211667748046 and parameters: {'n_factors': 53, 'n_epochs': 125, 'lr_all': 0.08316564817310135, 'reg_all': 0.08002425808017334}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2848211667748046
[I 2022-11-02 19:16:24,065] Trial 199 finished with value: 2.284778368641081 and parameters: {'n_factors': 53, 'n_epochs': 118, 'lr_all': 0.08610661153251792, 'reg_all': 0.0800277332053695}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.284778368641081
[I 2022-11-02 19:17:00,972] Trial 200 finished with value: 2.270901601566536 and parameters: {'n_factors': 180, 'n_epochs': 114, 'lr_all': 0.08519688464541153, 'reg_all': 0.07967458328786228}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.270901601566536
[I 2022-11-02 19:17:24,841] Trial 201 finished with value: 2.283765245368561 and parameters: {'n_factors': 53, 'n_epochs': 118, 'lr_all': 0.0806939073906884, 'reg_all': 0.08327044609275334}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.283765245368561
[I 2022-11-02 19:17:50,113] Trial 202 finished with value: 2.283158583246084 and parameters: {'n_factors': 55, 'n_epochs': 124, 'lr_all': 0.07521741688151656, 'reg_all': 0.0730395602042997}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.283158583246084
[I 2022-11-02 19:18:13,447] Trial 203 finished with value: 2.28507080657881 and parameters: {'n_factors': 53, 'n_epochs': 120, 'lr_all': 0.08862651358373543, 'reg_all': 0.07845972300942808}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.28507080657881
[I 2022-11-02 19:18:35,668] Trial 204 finished with value: 2.282034047738064 and parameters: {'n_factors': 58, 'n_epochs': 110, 'lr_all': 0.08923364937577595, 'reg_all': 0.0764698745118991}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.282034047738064
[I 2022-11-02 19:18:59,269] Trial 205 finished with value: 2.285323984808927 and parameters: {'n_factors': 53, 'n_epochs': 120, 'lr_all': 0.08918631536594693, 'reg_all': 0.07889746763187443}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.285323984808927
[I 2022-11-02 19:19:22,637] Trial 206 finished with value: 2.2861974126966573 and parameters: {'n_factors': 50, 'n_epochs': 120, 'lr_all': 0.08959004572516271, 'reg_all': 0.08636190638820987}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2861974126966573
[I 2022-11-02 19:19:46,821] Trial 207 finished with value: 2.2870099357301714 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.09091618748475665, 'reg_all': 0.06882386089486947}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2870099357301714
[I 2022-11-02 19:20:11,050] Trial 208 finished with value: 2.286443338294168 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.09027259298103694, 'reg_all': 0.07180024303014142}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.286443338294168
[I 2022-11-02 19:20:35,129] Trial 209 finished with value: 2.2869849941429146 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.090689237329383, 'reg_all': 0.06883202342895345}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2869849941429146
[I 2022-11-02 19:20:59,772] Trial 210 finished with value: 2.286275826629307 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.08851881789461755, 'reg_all': 0.06365494168928514}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.286275826629307
[I 2022-11-02 19:21:24,383] Trial 211 finished with value: 2.2859692841441084 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.08751934192419579, 'reg_all': 0.06675436965026714}. Best is trial 145 with value: 2.2871061364474277.
SVD Classifier: 2.2859692841441084
[I 2022-11-02 19:21:48,528] Trial 212 finished with value: 2.2872700246468654 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.0919782593588857, 'reg_all': 0.06632579643601848}. Best is trial 212 with value: 2.2872700246468654.
SVD Classifier: 2.2872700246468654
[I 2022-11-02 19:22:12,736] Trial 213 finished with value: 2.282541049787322 and parameters: {'n_factors': 51, 'n_epochs': 121, 'lr_all': 0.09085106445777895, 'reg_all': 0.06440834403625909}. Best is trial 212 with value: 2.2872700246468654.
SVD Classifier: 2.282541049787322
[I 2022-11-02 19:22:37,361] Trial 214 finished with value: 2.2873412767231245 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.09138972995580033, 'reg_all': 0.06708929062092908}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2873412767231245
[I 2022-11-02 19:23:01,593] Trial 215 finished with value: 2.2870705070239588 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.0940205820251597, 'reg_all': 0.0601408870466428}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2870705070239588
[I 2022-11-02 19:23:25,502] Trial 216 finished with value: 2.28652174379305 and parameters: {'n_factors': 50, 'n_epochs': 119, 'lr_all': 0.09254345534598571, 'reg_all': 0.06060602878595386}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.28652174379305
[I 2022-11-02 19:23:50,355] Trial 217 finished with value: 2.2814447841162053 and parameters: {'n_factors': 51, 'n_epochs': 122, 'lr_all': 0.09083911504394154, 'reg_all': 0.05798188810817007}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2814447841162053
[I 2022-11-02 19:24:13,449] Trial 218 finished with value: 2.2854309530967902 and parameters: {'n_factors': 50, 'n_epochs': 116, 'lr_all': 0.09198787807954999, 'reg_all': 0.060322323212709264}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2854309530967902
[I 2022-11-02 19:24:36,618] Trial 219 finished with value: 2.2864967968804932 and parameters: {'n_factors': 50, 'n_epochs': 117, 'lr_all': 0.0925069903165587, 'reg_all': 0.06234236272967733}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2864967968804932
[I 2022-11-02 19:25:00,239] Trial 220 finished with value: 2.2868887883296622 and parameters: {'n_factors': 50, 'n_epochs': 117, 'lr_all': 0.094438421249014, 'reg_all': 0.060876901247147897}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2868887883296622
[I 2022-11-02 19:25:23,201] Trial 221 finished with value: 2.2871952075778545 and parameters: {'n_factors': 50, 'n_epochs': 116, 'lr_all': 0.09292284775828236, 'reg_all': 0.06647258980868082}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2871952075778545
[I 2022-11-02 19:25:47,181] Trial 222 finished with value: 2.2868460288913046 and parameters: {'n_factors': 50, 'n_epochs': 120, 'lr_all': 0.09351659564836425, 'reg_all': 0.060762643456111175}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2868460288913046
[I 2022-11-02 19:26:10,033] Trial 223 finished with value: 2.2861867196792773 and parameters: {'n_factors': 50, 'n_epochs': 116, 'lr_all': 0.09266985733307431, 'reg_all': 0.06138481606275298}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2861867196792773
[I 2022-11-02 19:26:32,166] Trial 224 finished with value: 2.287063381072658 and parameters: {'n_factors': 50, 'n_epochs': 115, 'lr_all': 0.0980052099442324, 'reg_all': 0.061660761211613485}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.287063381072658
[I 2022-11-02 19:26:54,269] Trial 225 finished with value: 2.2872058958804082 and parameters: {'n_factors': 50, 'n_epochs': 115, 'lr_all': 0.09948008970440883, 'reg_all': 0.06137169989994822}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2872058958804082
[I 2022-11-02 19:27:16,303] Trial 226 finished with value: 2.286910167749031 and parameters: {'n_factors': 50, 'n_epochs': 113, 'lr_all': 0.09984492930088502, 'reg_all': 0.0606148733746566}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.286910167749031
[I 2022-11-02 19:27:38,421] Trial 227 finished with value: 2.2871667051935205 and parameters: {'n_factors': 50, 'n_epochs': 115, 'lr_all': 0.09961154918457009, 'reg_all': 0.061049373793015775}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2871667051935205
[I 2022-11-02 19:28:00,406] Trial 228 finished with value: 2.2867569441600706 and parameters: {'n_factors': 50, 'n_epochs': 112, 'lr_all': 0.0980660039952129, 'reg_all': 0.06237764291037405}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.2867569441600706
[I 2022-11-02 19:28:22,186] Trial 229 finished with value: 2.286917294177739 and parameters: {'n_factors': 50, 'n_epochs': 112, 'lr_all': 0.09814626003451199, 'reg_all': 0.06198658972628367}. Best is trial 214 with value: 2.2873412767231245.
SVD Classifier: 2.286917294177739
[I 2022-11-02 19:28:44,028] Trial 230 finished with value: 2.2873911518559047 and parameters: {'n_factors': 50, 'n_epochs': 113, 'lr_all': 0.09981461204201081, 'reg_all': 0.06274823039502328}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2873911518559047
[I 2022-11-02 19:29:05,825] Trial 231 finished with value: 2.2868424655686854 and parameters: {'n_factors': 50, 'n_epochs': 112, 'lr_all': 0.09850393485604884, 'reg_all': 0.061447807060344965}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2868424655686854
[I 2022-11-02 19:29:27,121] Trial 232 finished with value: 2.2775732876265007 and parameters: {'n_factors': 56, 'n_epochs': 103, 'lr_all': 0.09926529710891718, 'reg_all': 0.061564888269761156}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2775732876265007
[I 2022-11-02 19:29:48,742] Trial 233 finished with value: 2.287284275239685 and parameters: {'n_factors': 50, 'n_epochs': 111, 'lr_all': 0.09951009426426594, 'reg_all': 0.06675734116954371}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.287284275239685
[I 2022-11-02 19:30:11,558] Trial 234 finished with value: 2.2791326864778516 and parameters: {'n_factors': 56, 'n_epochs': 112, 'lr_all': 0.09927956750866315, 'reg_all': 0.06311662185072354}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2791326864778516
[I 2022-11-02 19:30:33,599] Trial 235 finished with value: 2.286610837687523 and parameters: {'n_factors': 50, 'n_epochs': 112, 'lr_all': 0.09984700052242804, 'reg_all': 0.05815714994702432}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.286610837687523
[I 2022-11-02 19:30:55,088] Trial 236 finished with value: 2.2830693546317504 and parameters: {'n_factors': 55, 'n_epochs': 107, 'lr_all': 0.09789814399675277, 'reg_all': 0.05920483711983698}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2830693546317504
[I 2022-11-02 19:31:17,549] Trial 237 finished with value: 2.287384026903518 and parameters: {'n_factors': 50, 'n_epochs': 112, 'lr_all': 0.09947357667379692, 'reg_all': 0.06694473633337997}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.287384026903518
[I 2022-11-02 19:31:40,701] Trial 238 finished with value: 2.2855200895123478 and parameters: {'n_factors': 53, 'n_epochs': 112, 'lr_all': 0.09936633628010692, 'reg_all': 0.0667997589083915}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2855200895123478
[I 2022-11-02 19:32:02,292] Trial 239 finished with value: 2.2860263184165155 and parameters: {'n_factors': 50, 'n_epochs': 109, 'lr_all': 0.09995470475834659, 'reg_all': 0.05642159003637588}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2860263184165155
[I 2022-11-02 19:32:25,945] Trial 240 finished with value: 2.2789968180145572 and parameters: {'n_factors': 56, 'n_epochs': 114, 'lr_all': 0.09915889385328042, 'reg_all': 0.06421041875190056}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2789968180145572
[I 2022-11-02 19:32:48,531] Trial 241 finished with value: 2.287045566097268 and parameters: {'n_factors': 50, 'n_epochs': 112, 'lr_all': 0.09262976292546614, 'reg_all': 0.06843782628233351}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.287045566097268
[I 2022-11-02 19:33:10,588] Trial 242 finished with value: 2.2838009263571935 and parameters: {'n_factors': 53, 'n_epochs': 108, 'lr_all': 0.09343198782553659, 'reg_all': 0.06880509407473628}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2838009263571935
[I 2022-11-02 19:33:32,936] Trial 243 finished with value: 2.2842789978321587 and parameters: {'n_factors': 50, 'n_epochs': 112, 'lr_all': 0.09313501358057581, 'reg_all': 0.053236082656361504}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2842789978321587
[I 2022-11-02 19:33:54,458] Trial 244 finished with value: 2.2822340056587134 and parameters: {'n_factors': 52, 'n_epochs': 105, 'lr_all': 0.09926345076056989, 'reg_all': 0.06272744009712243}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2822340056587134
[I 2022-11-02 19:34:17,477] Trial 245 finished with value: 2.2830764930492293 and parameters: {'n_factors': 55, 'n_epochs': 112, 'lr_all': 0.09294627454758402, 'reg_all': 0.05905345034050985}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2830764930492293
[I 2022-11-02 19:34:40,449] Trial 246 finished with value: 2.287284275239685 and parameters: {'n_factors': 50, 'n_epochs': 115, 'lr_all': 0.09296058445406881, 'reg_all': 0.06659337985584139}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.287284275239685
[I 2022-11-02 19:35:03,877] Trial 247 finished with value: 2.2854309530967902 and parameters: {'n_factors': 53, 'n_epochs': 114, 'lr_all': 0.09992775868098466, 'reg_all': 0.06783802231203749}. Best is trial 230 with value: 2.2873911518559047.
SVD Classifier: 2.2854309530967902
[I 2022-11-02 19:35:26,880] Trial 248 finished with value: 2.2875443329645613 and parameters: {'n_factors': 50, 'n_epochs': 116, 'lr_all': 0.09969408091323691, 'reg_all': 0.06619661063182206}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2875443329645613
[I 2022-11-02 19:35:49,833] Trial 249 finished with value: 2.279068328741764 and parameters: {'n_factors': 56, 'n_epochs': 111, 'lr_all': 0.09894556851178718, 'reg_all': 0.06575569197390929}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.279068328741764
[I 2022-11-02 19:36:13,656] Trial 250 finished with value: 2.2832799285656757 and parameters: {'n_factors': 53, 'n_epochs': 116, 'lr_all': 0.09314338389200226, 'reg_all': 0.06030287498557005}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2832799285656757
[I 2022-11-02 19:36:32,950] Trial 251 finished with value: 2.28395078042236 and parameters: {'n_factors': 50, 'n_epochs': 96, 'lr_all': 0.09982271763782789, 'reg_all': 0.0565420016355097}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.28395078042236
[I 2022-11-02 19:36:56,236] Trial 252 finished with value: 2.2835761268210604 and parameters: {'n_factors': 55, 'n_epochs': 114, 'lr_all': 0.09125861963313596, 'reg_all': 0.061916676413974185}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2835761268210604
[I 2022-11-02 19:37:18,027] Trial 253 finished with value: 2.2836403575180237 and parameters: {'n_factors': 53, 'n_epochs': 108, 'lr_all': 0.09314654751873282, 'reg_all': 0.06866115406474049}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2836403575180237
[I 2022-11-02 19:37:41,775] Trial 254 finished with value: 2.281062574220812 and parameters: {'n_factors': 58, 'n_epochs': 116, 'lr_all': 0.0918486479881447, 'reg_all': 0.0644475649238026}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.281062574220812
[I 2022-11-02 19:38:03,488] Trial 255 finished with value: 2.284970953930074 and parameters: {'n_factors': 50, 'n_epochs': 113, 'lr_all': 0.0907336286715591, 'reg_all': 0.058347819207425225}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.284970953930074
[I 2022-11-02 19:38:24,286] Trial 256 finished with value: 2.2833905613250867 and parameters: {'n_factors': 53, 'n_epochs': 103, 'lr_all': 0.09996537716936209, 'reg_all': 0.0613777140432447}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2833905613250867
[I 2022-11-02 19:38:47,722] Trial 257 finished with value: 2.284913893314466 and parameters: {'n_factors': 55, 'n_epochs': 117, 'lr_all': 0.09101040740768615, 'reg_all': 0.06618845508425363}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.284913893314466
[I 2022-11-02 19:39:09,838] Trial 258 finished with value: 2.283529736860773 and parameters: {'n_factors': 53, 'n_epochs': 110, 'lr_all': 0.09997907463472941, 'reg_all': 0.0553000434959224}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.283529736860773
[I 2022-11-02 19:39:33,052] Trial 259 finished with value: 2.2865823280189836 and parameters: {'n_factors': 50, 'n_epochs': 117, 'lr_all': 0.09043693512187342, 'reg_all': 0.06993653094135563}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2865823280189836
[I 2022-11-02 19:39:56,721] Trial 260 finished with value: 2.2819126361662407 and parameters: {'n_factors': 58, 'n_epochs': 114, 'lr_all': 0.08901889742218043, 'reg_all': 0.07023681808343998}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2819126361662407
[I 2022-11-02 19:40:18,256] Trial 261 finished with value: 2.2858124325572002 and parameters: {'n_factors': 50, 'n_epochs': 108, 'lr_all': 0.08771579844268625, 'reg_all': 0.06873474982843783}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2858124325572002
[I 2022-11-02 19:40:37,035] Trial 262 finished with value: 2.2815769352565445 and parameters: {'n_factors': 55, 'n_epochs': 89, 'lr_all': 0.0999297021717558, 'reg_all': 0.06614669480914204}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2815769352565445
[I 2022-11-02 19:40:59,696] Trial 263 finished with value: 2.2826160194051863 and parameters: {'n_factors': 53, 'n_epochs': 112, 'lr_all': 0.08881505344186995, 'reg_all': 0.06504629295504646}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2826160194051863
[I 2022-11-02 19:41:22,719] Trial 264 finished with value: 2.285402428709566 and parameters: {'n_factors': 50, 'n_epochs': 115, 'lr_all': 0.09239517071815423, 'reg_all': 0.05869288944253129}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.285402428709566
[I 2022-11-02 19:41:47,514] Trial 265 finished with value: 2.281144736891365 and parameters: {'n_factors': 57, 'n_epochs': 118, 'lr_all': 0.09944653734613654, 'reg_all': 0.0702559103757845}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.281144736891365
[I 2022-11-02 19:42:09,830] Trial 266 finished with value: 2.2820233352121484 and parameters: {'n_factors': 53, 'n_epochs': 110, 'lr_all': 0.08654061164414781, 'reg_all': 0.06305313550242654}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2820233352121484
[I 2022-11-02 19:42:32,808] Trial 267 finished with value: 2.2853453788670417 and parameters: {'n_factors': 50, 'n_epochs': 117, 'lr_all': 0.09056355967834143, 'reg_all': 0.06007542309093567}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2853453788670417
[I 2022-11-02 19:42:54,537] Trial 268 finished with value: 2.2792613964983683 and parameters: {'n_factors': 56, 'n_epochs': 105, 'lr_all': 0.09983044239591336, 'reg_all': 0.06667098395113}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2792613964983683
[I 2022-11-02 19:43:27,940] Trial 269 finished with value: 2.2115057476889244 and parameters: {'n_factors': 151, 'n_epochs': 112, 'lr_all': 0.0019440467943789138, 'reg_all': 0.07085197515840289}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2115057476889244
[I 2022-11-02 19:43:50,891] Trial 270 finished with value: 2.2819840555202093 and parameters: {'n_factors': 53, 'n_epochs': 114, 'lr_all': 0.08715100778340967, 'reg_all': 0.05671007471514228}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2819840555202093
[I 2022-11-02 19:44:13,964] Trial 271 finished with value: 2.2846999033136863 and parameters: {'n_factors': 50, 'n_epochs': 117, 'lr_all': 0.08613994309313032, 'reg_all': 0.06297166863807331}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2846999033136863
[I 2022-11-02 19:44:36,143] Trial 272 finished with value: 2.281059001863655 and parameters: {'n_factors': 58, 'n_epochs': 108, 'lr_all': 0.09246138142652538, 'reg_all': 0.06807671760786957}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.281059001863655
[I 2022-11-02 19:44:58,963] Trial 273 finished with value: 2.285823127325485 and parameters: {'n_factors': 53, 'n_epochs': 118, 'lr_all': 0.09944900580495764, 'reg_all': 0.07271944851310884}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.285823127325485
[I 2022-11-02 19:45:21,108] Trial 274 finished with value: 2.281137592428796 and parameters: {'n_factors': 53, 'n_epochs': 114, 'lr_all': 0.08595133925626056, 'reg_all': 0.05335865863613177}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.281137592428796
[I 2022-11-02 19:45:41,858] Trial 275 finished with value: 2.2853632070958145 and parameters: {'n_factors': 50, 'n_epochs': 110, 'lr_all': 0.09334449387259285, 'reg_all': 0.06015281154419269}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2853632070958145
[I 2022-11-02 19:45:47,194] Trial 276 finished with value: 2.2114873240475115 and parameters: {'n_factors': 56, 'n_epochs': 22, 'lr_all': 0.0030471237390717826, 'reg_all': 0.06453107057419928}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2114873240475115
[I 2022-11-02 19:46:20,902] Trial 277 finished with value: 2.267479336208527 and parameters: {'n_factors': 158, 'n_epochs': 112, 'lr_all': 0.08708137755166194, 'reg_all': 0.05817292886382861}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.267479336208527
[I 2022-11-02 19:46:43,864] Trial 278 finished with value: 2.2390469797728705 and parameters: {'n_factors': 53, 'n_epochs': 119, 'lr_all': 0.013330878968118012, 'reg_all': 0.06722054130498732}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2390469797728705
[I 2022-11-02 19:47:06,978] Trial 279 finished with value: 2.280347991421017 and parameters: {'n_factors': 59, 'n_epochs': 115, 'lr_all': 0.09292289046315248, 'reg_all': 0.06203625251329619}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.280347991421017
[I 2022-11-02 19:47:27,511] Trial 280 finished with value: 2.2869564891386864 and parameters: {'n_factors': 50, 'n_epochs': 106, 'lr_all': 0.0998055981547999, 'reg_all': 0.06347911623694412}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2869564891386864
[I 2022-11-02 19:47:48,712] Trial 281 finished with value: 2.281344772759352 and parameters: {'n_factors': 55, 'n_epochs': 107, 'lr_all': 0.08330483581860154, 'reg_all': 0.06474007158055535}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.281344772759352
[I 2022-11-02 19:48:08,307] Trial 282 finished with value: 2.2865395628496645 and parameters: {'n_factors': 50, 'n_epochs': 102, 'lr_all': 0.09937979250958498, 'reg_all': 0.0711589532296208}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2865395628496645
[I 2022-11-02 19:48:38,094] Trial 283 finished with value: 2.271992194618554 and parameters: {'n_factors': 127, 'n_epochs': 110, 'lr_all': 0.09911777368857098, 'reg_all': 0.06744987759054126}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.271992194618554
[I 2022-11-02 19:49:06,372] Trial 284 finished with value: 2.271142007526393 and parameters: {'n_factors': 140, 'n_epochs': 100, 'lr_all': 0.09989400872520057, 'reg_all': 0.0638301750049881}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.271142007526393
[I 2022-11-02 19:49:28,285] Trial 285 finished with value: 2.2824232354125877 and parameters: {'n_factors': 53, 'n_epochs': 113, 'lr_all': 0.08414893599405952, 'reg_all': 0.07333849482415468}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2824232354125877
[I 2022-11-02 19:49:51,329] Trial 286 finished with value: 2.281180458868571 and parameters: {'n_factors': 55, 'n_epochs': 116, 'lr_all': 0.08491359121049795, 'reg_all': 0.05642152915415575}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.281180458868571
[I 2022-11-02 19:50:16,929] Trial 287 finished with value: 2.2722683472771967 and parameters: {'n_factors': 101, 'n_epochs': 105, 'lr_all': 0.0913928368874515, 'reg_all': 0.06874824373239327}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2722683472771967
[I 2022-11-02 19:50:34,030] Trial 288 finished with value: 2.2732184863908445 and parameters: {'n_factors': 59, 'n_epochs': 83, 'lr_all': 0.08427971510308314, 'reg_all': 0.060617024958801}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2732184863908445
[I 2022-11-02 19:50:54,752] Trial 289 finished with value: 2.2538901616617015 and parameters: {'n_factors': 50, 'n_epochs': 110, 'lr_all': 0.03099616740571204, 'reg_all': 0.06544145579392835}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2538901616617015
[I 2022-11-02 19:51:16,549] Trial 290 finished with value: 2.285252669835362 and parameters: {'n_factors': 53, 'n_epochs': 114, 'lr_all': 0.09965596022407458, 'reg_all': 0.06254382126116026}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.285252669835362
[I 2022-11-02 19:51:26,768] Trial 291 finished with value: 2.2580151986709263 and parameters: {'n_factors': 56, 'n_epochs': 50, 'lr_all': 0.09157750321647312, 'reg_all': 0.05831969421029556}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2580151986709263
[I 2022-11-02 19:51:50,576] Trial 292 finished with value: 2.2854594771280072 and parameters: {'n_factors': 50, 'n_epochs': 118, 'lr_all': 0.08457705255040142, 'reg_all': 0.0701455828283577}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2854594771280072
[I 2022-11-02 19:52:14,030] Trial 293 finished with value: 2.229345185035501 and parameters: {'n_factors': 53, 'n_epochs': 112, 'lr_all': 0.007701859022086944, 'reg_all': 0.06595470423710802}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.229345185035501
[I 2022-11-02 19:52:28,641] Trial 294 finished with value: 2.2735339164621244 and parameters: {'n_factors': 53, 'n_epochs': 67, 'lr_all': 0.09065920854299357, 'reg_all': 0.06317526706913831}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2735339164621244
[I 2022-11-02 19:52:52,424] Trial 295 finished with value: 2.2862259271651633 and parameters: {'n_factors': 50, 'n_epochs': 115, 'lr_all': 0.0996636717820452, 'reg_all': 0.05431971803090162}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2862259271651633
[I 2022-11-02 19:53:15,204] Trial 296 finished with value: 2.273480153066798 and parameters: {'n_factors': 56, 'n_epochs': 107, 'lr_all': 0.07842422556081517, 'reg_all': 0.06040545308728448}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.273480153066798
[I 2022-11-02 19:53:40,970] Trial 297 finished with value: 2.2812197523974187 and parameters: {'n_factors': 59, 'n_epochs': 120, 'lr_all': 0.0999900829287677, 'reg_all': 0.07343174443332887}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2812197523974187
[I 2022-11-02 19:54:04,318] Trial 298 finished with value: 2.2835475792647184 and parameters: {'n_factors': 53, 'n_epochs': 111, 'lr_all': 0.0907775748037291, 'reg_all': 0.06792707339546353}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2835475792647184
[I 2022-11-02 19:54:27,975] Trial 299 finished with value: 2.283997161830888 and parameters: {'n_factors': 50, 'n_epochs': 117, 'lr_all': 0.08323313956280365, 'reg_all': 0.06452820276360763}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.283997161830888
[I 2022-11-02 19:54:50,885] Trial 300 finished with value: 2.2760271414371323 and parameters: {'n_factors': 56, 'n_epochs': 108, 'lr_all': 0.09129955448475587, 'reg_all': 0.05798301606351944}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2760271414371323
[I 2022-11-02 19:55:16,785] Trial 301 finished with value: 2.2814983598254055 and parameters: {'n_factors': 53, 'n_epochs': 122, 'lr_all': 0.07473142130709595, 'reg_all': 0.07054488028108521}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2814983598254055
[I 2022-11-02 19:55:39,904] Trial 302 finished with value: 2.283611810764633 and parameters: {'n_factors': 50, 'n_epochs': 114, 'lr_all': 0.0831725333048914, 'reg_all': 0.06140038870549896}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.283611810764633
[I 2022-11-02 19:56:05,087] Trial 303 finished with value: 2.2784067688750715 and parameters: {'n_factors': 56, 'n_epochs': 119, 'lr_all': 0.09127662411954164, 'reg_all': 0.06676326485039101}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2784067688750715
[I 2022-11-02 19:56:28,459] Trial 304 finished with value: 2.2848176002942804 and parameters: {'n_factors': 53, 'n_epochs': 111, 'lr_all': 0.09965156261188235, 'reg_all': 0.062270248206438256}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2848176002942804
[I 2022-11-02 19:56:52,072] Trial 305 finished with value: 2.286233055726721 and parameters: {'n_factors': 50, 'n_epochs': 116, 'lr_all': 0.09994701469952752, 'reg_all': 0.05207721061190703}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.286233055726721
[I 2022-11-02 19:57:16,829] Trial 306 finished with value: 2.272583909225877 and parameters: {'n_factors': 60, 'n_epochs': 113, 'lr_all': 0.07848410528424547, 'reg_all': 0.05623630187975267}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.272583909225877
[I 2022-11-02 19:57:41,915] Trial 307 finished with value: 2.282519629444229 and parameters: {'n_factors': 53, 'n_epochs': 119, 'lr_all': 0.08615480588619762, 'reg_all': 0.06570615357978121}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.282519629444229
[I 2022-11-02 19:58:04,796] Trial 308 finished with value: 2.2780061635907085 and parameters: {'n_factors': 56, 'n_epochs': 108, 'lr_all': 0.09122002345391805, 'reg_all': 0.07276766524069854}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2780061635907085
[I 2022-11-02 19:58:29,603] Trial 309 finished with value: 2.2855949614149695 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.09126366987226787, 'reg_all': 0.05908962366235713}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2855949614149695
[I 2022-11-02 19:59:07,652] Trial 310 finished with value: 2.2686362299938723 and parameters: {'n_factors': 172, 'n_epochs': 115, 'lr_all': 0.08006825972519638, 'reg_all': 0.069170952837958}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2686362299938723
[I 2022-11-02 19:59:30,689] Trial 311 finished with value: 2.245047570944771 and parameters: {'n_factors': 53, 'n_epochs': 111, 'lr_all': 0.020126918125463928, 'reg_all': 0.063852762202356}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.245047570944771
[I 2022-11-02 19:59:52,429] Trial 312 finished with value: 2.2787107526641623 and parameters: {'n_factors': 50, 'n_epochs': 105, 'lr_all': 0.07371032386322474, 'reg_all': 0.05969543300286628}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2787107526641623
[I 2022-11-02 20:00:17,152] Trial 313 finished with value: 2.248362634472223 and parameters: {'n_factors': 58, 'n_epochs': 116, 'lr_all': 0.02303261643627, 'reg_all': 0.06722301824958238}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.248362634472223
[I 2022-11-02 20:00:41,375] Trial 314 finished with value: 2.285156391090705 and parameters: {'n_factors': 55, 'n_epochs': 118, 'lr_all': 0.09968764309246841, 'reg_all': 0.07444312023196305}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.285156391090705
[I 2022-11-02 20:01:04,047] Trial 315 finished with value: 2.282026906059708 and parameters: {'n_factors': 53, 'n_epochs': 112, 'lr_all': 0.08443559059770206, 'reg_all': 0.06296449637678851}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.282026906059708
[I 2022-11-02 20:01:28,078] Trial 316 finished with value: 2.2872985257437195 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.0920417719295183, 'reg_all': 0.07082341075564114}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2872985257437195
[I 2022-11-02 20:01:52,443] Trial 317 finished with value: 2.2842682958343787 and parameters: {'n_factors': 53, 'n_epochs': 122, 'lr_all': 0.09994678727546752, 'reg_all': 0.05458190956714445}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2842682958343787
[I 2022-11-02 20:02:16,850] Trial 318 finished with value: 2.2778594958256293 and parameters: {'n_factors': 56, 'n_epochs': 120, 'lr_all': 0.09145474378836908, 'reg_all': 0.06122423504536444}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2778594958256293
[I 2022-11-02 20:02:36,008] Trial 319 finished with value: 2.2685392460334146 and parameters: {'n_factors': 91, 'n_epochs': 75, 'lr_all': 0.0833232727766387, 'reg_all': 0.06519010769292115}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2685392460334146
[I 2022-11-02 20:02:58,429] Trial 320 finished with value: 2.2851492591704736 and parameters: {'n_factors': 50, 'n_epochs': 114, 'lr_all': 0.09179192211010563, 'reg_all': 0.05786163413242982}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2851492591704736
[I 2022-11-02 20:03:21,247] Trial 321 finished with value: 2.2747916171627764 and parameters: {'n_factors': 60, 'n_epochs': 109, 'lr_all': 0.07626553319022705, 'reg_all': 0.07091717070098374}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2747916171627764
[I 2022-11-02 20:03:46,394] Trial 322 finished with value: 2.2825517598834875 and parameters: {'n_factors': 53, 'n_epochs': 123, 'lr_all': 0.0837619186640962, 'reg_all': 0.06739283622573743}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2825517598834875
[I 2022-11-02 20:04:09,461] Trial 323 finished with value: 2.2776806199157376 and parameters: {'n_factors': 56, 'n_epochs': 113, 'lr_all': 0.09201194489697746, 'reg_all': 0.06381371022931738}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2776806199157376
[I 2022-11-02 20:04:32,939] Trial 324 finished with value: 2.286535999049451 and parameters: {'n_factors': 50, 'n_epochs': 119, 'lr_all': 0.09256509851123111, 'reg_all': 0.06049102043104914}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.286535999049451
[I 2022-11-02 20:04:54,474] Trial 325 finished with value: 2.2485945783669936 and parameters: {'n_factors': 53, 'n_epochs': 106, 'lr_all': 0.0838228953762576, 'reg_all': 0.013963500670878511}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2485945783669936
[I 2022-11-02 20:05:16,498] Trial 326 finished with value: 2.2801585894432037 and parameters: {'n_factors': 52, 'n_epochs': 110, 'lr_all': 0.07520477634583621, 'reg_all': 0.07477039817946055}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.2801585894432037
[I 2022-11-02 20:05:40,523] Trial 327 finished with value: 2.280805350203957 and parameters: {'n_factors': 57, 'n_epochs': 116, 'lr_all': 0.09964368688701544, 'reg_all': 0.06737750140657489}. Best is trial 248 with value: 2.2875443329645613.
SVD Classifier: 2.280805350203957
[I 2022-11-02 20:06:04,841] Trial 328 finished with value: 2.2875550196358723 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.09957901273753898, 'reg_all': 0.06250666163483876}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2875550196358723
[I 2022-11-02 20:06:29,622] Trial 329 finished with value: 2.283458365850827 and parameters: {'n_factors': 55, 'n_epochs': 121, 'lr_all': 0.08583409682636388, 'reg_all': 0.06388871728545192}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.283458365850827
[I 2022-11-02 20:06:54,477] Trial 330 finished with value: 2.2685572063389055 and parameters: {'n_factors': 112, 'n_epochs': 93, 'lr_all': 0.09130763948546097, 'reg_all': 0.07065652580399129}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2685572063389055
[I 2022-11-02 20:07:18,178] Trial 331 finished with value: 2.282937289882276 and parameters: {'n_factors': 50, 'n_epochs': 119, 'lr_all': 0.08014573657064582, 'reg_all': 0.061348265839486826}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.282937289882276
[I 2022-11-02 20:07:56,870] Trial 332 finished with value: 2.270761652049488 and parameters: {'n_factors': 163, 'n_epochs': 123, 'lr_all': 0.09989403755914796, 'reg_all': 0.06603676599538288}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.270761652049488
[I 2022-11-02 20:08:32,008] Trial 333 finished with value: 2.270854952685841 and parameters: {'n_factors': 136, 'n_epochs': 124, 'lr_all': 0.09141183805454517, 'reg_all': 0.06852015707068888}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.270854952685841
[I 2022-11-02 20:09:10,754] Trial 334 finished with value: 2.2655558617769413 and parameters: {'n_factors': 187, 'n_epochs': 117, 'lr_all': 0.07160368802831256, 'reg_all': 0.06315668362819693}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2655558617769413
[I 2022-11-02 20:09:35,464] Trial 335 finished with value: 2.2800871129100133 and parameters: {'n_factors': 59, 'n_epochs': 121, 'lr_all': 0.08531584543514725, 'reg_all': 0.07371578385055395}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2800871129100133
[I 2022-11-02 20:09:57,995] Trial 336 finished with value: 2.2568925774890283 and parameters: {'n_factors': 53, 'n_epochs': 114, 'lr_all': 0.035938264795609194, 'reg_all': 0.06016544682161017}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2568925774890283
[I 2022-11-02 20:10:24,854] Trial 337 finished with value: 2.267809937511926 and parameters: {'n_factors': 122, 'n_epochs': 98, 'lr_all': 0.09226766493294261, 'reg_all': 0.05608371508049087}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.267809937511926
[I 2022-11-02 20:10:47,429] Trial 338 finished with value: 2.226631354426121 and parameters: {'n_factors': 53, 'n_epochs': 117, 'lr_all': 0.004666085200227556, 'reg_all': 0.07050845980517931}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.226631354426121
[I 2022-11-02 20:11:10,870] Trial 339 finished with value: 2.283515462837239 and parameters: {'n_factors': 50, 'n_epochs': 123, 'lr_all': 0.07907274859211798, 'reg_all': 0.06459104007331067}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.283515462837239
[I 2022-11-02 20:11:34,891] Trial 340 finished with value: 2.2852990248213247 and parameters: {'n_factors': 55, 'n_epochs': 120, 'lr_all': 0.09199300311372241, 'reg_all': 0.06658944072825865}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2852990248213247
[I 2022-11-02 20:11:56,548] Trial 341 finished with value: 2.2840257037679925 and parameters: {'n_factors': 50, 'n_epochs': 115, 'lr_all': 0.08497268770353415, 'reg_all': 0.061507077153337315}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2840257037679925
[I 2022-11-02 20:12:18,363] Trial 342 finished with value: 2.217187645368788 and parameters: {'n_factors': 53, 'n_epochs': 109, 'lr_all': 0.0016485016456270747, 'reg_all': 0.05939210351300645}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.217187645368788
[I 2022-11-02 20:12:42,388] Trial 343 finished with value: 2.2830479392453955 and parameters: {'n_factors': 58, 'n_epochs': 118, 'lr_all': 0.09915461364255665, 'reg_all': 0.06858814512006568}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2830479392453955
[I 2022-11-02 20:13:04,649] Trial 344 finished with value: 2.2811590257493743 and parameters: {'n_factors': 55, 'n_epochs': 112, 'lr_all': 0.07918321875594492, 'reg_all': 0.06365180722768363}. Best is trial 328 with value: 2.2875550196358723.
SVD Classifier: 2.2811590257493743
[I 2022-11-02 20:13:28,339] Trial 345 finished with value: 2.2876583215514423 and parameters: {'n_factors': 50, 'n_epochs': 126, 'lr_all': 0.09984355602291572, 'reg_all': 0.05788586624782816}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2876583215514423
[I 2022-11-02 20:13:53,267] Trial 346 finished with value: 2.2846428359283926 and parameters: {'n_factors': 53, 'n_epochs': 124, 'lr_all': 0.09967650075942308, 'reg_all': 0.056857420699279425}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2846428359283926
[I 2022-11-02 20:14:18,193] Trial 347 finished with value: 2.280962546105538 and parameters: {'n_factors': 57, 'n_epochs': 125, 'lr_all': 0.0865396976840428, 'reg_all': 0.0728421041662428}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.280962546105538
[I 2022-11-02 20:14:41,345] Trial 348 finished with value: 2.284421686345079 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.09073836545492496, 'reg_all': 0.05082740230883496}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.284421686345079
[I 2022-11-02 20:15:16,940] Trial 349 finished with value: 2.2654335670884826 and parameters: {'n_factors': 146, 'n_epochs': 120, 'lr_all': 0.07196940788409614, 'reg_all': 0.05446923141981873}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2654335670884826
[I 2022-11-02 20:15:43,189] Trial 350 finished with value: 2.232417114879583 and parameters: {'n_factors': 61, 'n_epochs': 128, 'lr_all': 0.011494696597179731, 'reg_all': 0.05839923306985067}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.232417114879583
[I 2022-11-02 20:16:07,672] Trial 351 finished with value: 2.2834797773880373 and parameters: {'n_factors': 53, 'n_epochs': 126, 'lr_all': 0.08536382733357463, 'reg_all': 0.0659132897648359}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2834797773880373
[I 2022-11-02 20:16:35,398] Trial 352 finished with value: 2.2773586078722614 and parameters: {'n_factors': 85, 'n_epochs': 116, 'lr_all': 0.09955629701974947, 'reg_all': 0.06923791714820535}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2773586078722614
[I 2022-11-02 20:17:00,313] Trial 353 finished with value: 2.254750467883241 and parameters: {'n_factors': 55, 'n_epochs': 123, 'lr_all': 0.09150795613497521, 'reg_all': 0.01594591437073223}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.254750467883241
[I 2022-11-02 20:17:23,576] Trial 354 finished with value: 2.2828659003502003 and parameters: {'n_factors': 50, 'n_epochs': 118, 'lr_all': 0.07919832644491272, 'reg_all': 0.06238417433577988}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2828659003502003
[I 2022-11-02 20:17:46,244] Trial 355 finished with value: 2.283622515838973 and parameters: {'n_factors': 53, 'n_epochs': 115, 'lr_all': 0.09153536258747925, 'reg_all': 0.06567233092642324}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.283622515838973
[I 2022-11-02 20:18:10,159] Trial 356 finished with value: 2.2807910591302165 and parameters: {'n_factors': 57, 'n_epochs': 120, 'lr_all': 0.08456602454413432, 'reg_all': 0.07533217356293352}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2807910591302165
[I 2022-11-02 20:18:33,608] Trial 357 finished with value: 2.238486443642131 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.015935256904861125, 'reg_all': 0.058420815633830454}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.238486443642131
[I 2022-11-02 20:18:56,614] Trial 358 finished with value: 2.284732003091512 and parameters: {'n_factors': 53, 'n_epochs': 114, 'lr_all': 0.0924205297107341, 'reg_all': 0.07211237393589798}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.284732003091512
[I 2022-11-02 20:19:18,225] Trial 359 finished with value: 2.2377254914505484 and parameters: {'n_factors': 52, 'n_epochs': 108, 'lr_all': 0.02606165919930287, 'reg_all': 0.011664223344116141}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2377254914505484
[I 2022-11-02 20:19:39,734] Trial 360 finished with value: 2.2782672803858652 and parameters: {'n_factors': 56, 'n_epochs': 104, 'lr_all': 0.09962791008007663, 'reg_all': 0.061136083496359045}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2782672803858652
[I 2022-11-02 20:20:03,156] Trial 361 finished with value: 2.283212118740885 and parameters: {'n_factors': 50, 'n_epochs': 118, 'lr_all': 0.07674488066619614, 'reg_all': 0.06858405440256421}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.283212118740885
[I 2022-11-02 20:20:28,580] Trial 362 finished with value: 2.284896061579858 and parameters: {'n_factors': 55, 'n_epochs': 127, 'lr_all': 0.0851594389264738, 'reg_all': 0.064352925702724}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.284896061579858
[I 2022-11-02 20:20:51,584] Trial 363 finished with value: 2.2756977338858735 and parameters: {'n_factors': 60, 'n_epochs': 111, 'lr_all': 0.09228939110024267, 'reg_all': 0.056210931285753565}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2756977338858735
[I 2022-11-02 20:21:15,071] Trial 364 finished with value: 2.2801693107299323 and parameters: {'n_factors': 52, 'n_epochs': 115, 'lr_all': 0.08008067661642164, 'reg_all': 0.0666191386172862}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2801693107299323
[I 2022-11-02 20:21:38,766] Trial 365 finished with value: 2.2861938483630877 and parameters: {'n_factors': 50, 'n_epochs': 119, 'lr_all': 0.09177208762719627, 'reg_all': 0.0608875234384907}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2861938483630877
[I 2022-11-02 20:22:04,242] Trial 366 finished with value: 2.286243748527382 and parameters: {'n_factors': 55, 'n_epochs': 123, 'lr_all': 0.0998238155540061, 'reg_all': 0.06306123923155016}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.286243748527382
[I 2022-11-02 20:22:28,107] Trial 367 finished with value: 2.2807374668061553 and parameters: {'n_factors': 53, 'n_epochs': 117, 'lr_all': 0.07066407795146065, 'reg_all': 0.0710738658300369}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2807374668061553
[I 2022-11-02 20:22:50,815] Trial 368 finished with value: 2.2784997564570935 and parameters: {'n_factors': 58, 'n_epochs': 113, 'lr_all': 0.0824735238789456, 'reg_all': 0.05914795697329836}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2784997564570935
[I 2022-11-02 20:23:11,729] Trial 369 finished with value: 2.2846963366438664 and parameters: {'n_factors': 50, 'n_epochs': 110, 'lr_all': 0.08763997770682573, 'reg_all': 0.06557983566866378}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2846963366438664
[I 2022-11-02 20:23:35,610] Trial 370 finished with value: 2.286165333494475 and parameters: {'n_factors': 53, 'n_epochs': 121, 'lr_all': 0.09933407446159519, 'reg_all': 0.06862654542097686}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.286165333494475
[I 2022-11-02 20:23:57,509] Trial 371 finished with value: 2.2864041345364696 and parameters: {'n_factors': 50, 'n_epochs': 116, 'lr_all': 0.09112654378166601, 'reg_all': 0.07460276784011514}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2864041345364696
[I 2022-11-02 20:24:19,629] Trial 372 finished with value: 2.2522734882711584 and parameters: {'n_factors': 56, 'n_epochs': 107, 'lr_all': 0.07450778487737644, 'reg_all': 0.024461092604167886}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2522734882711584
[I 2022-11-02 20:24:42,168] Trial 373 finished with value: 2.285377469578697 and parameters: {'n_factors': 53, 'n_epochs': 113, 'lr_all': 0.09966484253060594, 'reg_all': 0.06289365194997423}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.285377469578697
[I 2022-11-02 20:25:05,376] Trial 374 finished with value: 2.2841755430865653 and parameters: {'n_factors': 50, 'n_epochs': 119, 'lr_all': 0.08453567501798989, 'reg_all': 0.05922314763067233}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2841755430865653
[I 2022-11-02 20:25:31,455] Trial 375 finished with value: 2.280458766418609 and parameters: {'n_factors': 58, 'n_epochs': 126, 'lr_all': 0.09127638880771426, 'reg_all': 0.053298432744192374}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.280458766418609
[I 2022-11-02 20:25:56,521] Trial 376 finished with value: 2.2827124052959746 and parameters: {'n_factors': 55, 'n_epochs': 123, 'lr_all': 0.077186029901187, 'reg_all': 0.06552683785732243}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2827124052959746
[I 2022-11-02 20:26:19,012] Trial 377 finished with value: 2.2828944564309257 and parameters: {'n_factors': 53, 'n_epochs': 116, 'lr_all': 0.08632818467451135, 'reg_all': 0.07122708509594305}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2828944564309257
[I 2022-11-02 20:26:41,997] Trial 378 finished with value: 2.279379374299206 and parameters: {'n_factors': 61, 'n_epochs': 113, 'lr_all': 0.0927871687076666, 'reg_all': 0.062060109404391134}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.279379374299206
[I 2022-11-02 20:27:04,925] Trial 379 finished with value: 2.287099010607138 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.09934071780932432, 'reg_all': 0.05669662590984336}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.287099010607138
[I 2022-11-02 20:27:28,796] Trial 380 finished with value: 2.2845822002695857 and parameters: {'n_factors': 53, 'n_epochs': 125, 'lr_all': 0.09965774461913832, 'reg_all': 0.056018351061365164}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2845822002695857
[I 2022-11-02 20:27:51,416] Trial 381 finished with value: 2.283911533879452 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.08022545538783586, 'reg_all': 0.0682915457958723}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.283911533879452
[I 2022-11-02 20:28:15,255] Trial 382 finished with value: 2.2299482160143778 and parameters: {'n_factors': 57, 'n_epochs': 120, 'lr_all': 0.0028250533163946484, 'reg_all': 0.02767532862311029}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2299482160143778
[I 2022-11-02 20:28:37,734] Trial 383 finished with value: 2.28208403886077 and parameters: {'n_factors': 53, 'n_epochs': 118, 'lr_all': 0.08593626927717599, 'reg_all': 0.05710189756425863}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.28208403886077
[I 2022-11-02 20:29:02,945] Trial 384 finished with value: 2.2860263184165155 and parameters: {'n_factors': 55, 'n_epochs': 129, 'lr_all': 0.09159977036998208, 'reg_all': 0.06538259871588362}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2860263184165155
[I 2022-11-02 20:29:26,398] Trial 385 finished with value: 2.287017061847999 and parameters: {'n_factors': 50, 'n_epochs': 124, 'lr_all': 0.09972572832378658, 'reg_all': 0.07537752098971572}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.287017061847999
[I 2022-11-02 20:29:49,821] Trial 386 finished with value: 2.2858338220437315 and parameters: {'n_factors': 50, 'n_epochs': 126, 'lr_all': 0.08557965093500997, 'reg_all': 0.07738140015979228}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2858338220437315
[I 2022-11-02 20:30:13,485] Trial 387 finished with value: 2.285758957965185 and parameters: {'n_factors': 53, 'n_epochs': 129, 'lr_all': 0.09908651974892943, 'reg_all': 0.07631318183220008}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.285758957965185
[I 2022-11-02 20:30:37,400] Trial 388 finished with value: 2.2765032659185747 and parameters: {'n_factors': 60, 'n_epochs': 124, 'lr_all': 0.0726199110569889, 'reg_all': 0.07255596880015072}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2765032659185747
[I 2022-11-02 20:31:00,591] Trial 389 finished with value: 2.278742936808858 and parameters: {'n_factors': 56, 'n_epochs': 122, 'lr_all': 0.09129895450338364, 'reg_all': 0.06948484466037386}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.278742936808858
[I 2022-11-02 20:31:22,143] Trial 390 finished with value: 2.281591221407837 and parameters: {'n_factors': 52, 'n_epochs': 117, 'lr_all': 0.08024602319024383, 'reg_all': 0.07542231086194179}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.281591221407837
[I 2022-11-02 20:31:45,088] Trial 391 finished with value: 2.287369776932163 and parameters: {'n_factors': 50, 'n_epochs': 127, 'lr_all': 0.09198116581895978, 'reg_all': 0.07213238931139447}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.287369776932163
[I 2022-11-02 20:32:09,972] Trial 392 finished with value: 2.2850137484566897 and parameters: {'n_factors': 55, 'n_epochs': 128, 'lr_all': 0.0852236712835911, 'reg_all': 0.07214346545487202}. Best is trial 345 with value: 2.2876583215514423.
SVD Classifier: 2.2850137484566897
[I 2022-11-02 20:32:34,280] Trial 393 finished with value: 2.287672569725445 and parameters: {'n_factors': 50, 'n_epochs': 130, 'lr_all': 0.09991076422513628, 'reg_all': 0.07376042030335454}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.287672569725445
[I 2022-11-02 20:32:59,498] Trial 394 finished with value: 2.2862508770333725 and parameters: {'n_factors': 53, 'n_epochs': 131, 'lr_all': 0.09950744343427728, 'reg_all': 0.0757711255815984}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2862508770333725
[I 2022-11-02 20:33:24,590] Trial 395 finished with value: 2.28163407932501 and parameters: {'n_factors': 58, 'n_epochs': 127, 'lr_all': 0.07791070468227639, 'reg_all': 0.07220123665340737}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.28163407932501
[I 2022-11-02 20:33:48,522] Trial 396 finished with value: 2.287401839242873 and parameters: {'n_factors': 50, 'n_epochs': 126, 'lr_all': 0.09992144376664043, 'reg_all': 0.07477588282953672}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.287401839242873
[I 2022-11-02 20:34:19,383] Trial 397 finished with value: 2.2759913385779464 and parameters: {'n_factors': 95, 'n_epochs': 129, 'lr_all': 0.08752057818078045, 'reg_all': 0.07619319199902996}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2759913385779464
[I 2022-11-02 20:34:42,502] Trial 398 finished with value: 2.2859372017405337 and parameters: {'n_factors': 53, 'n_epochs': 126, 'lr_all': 0.0910449632671185, 'reg_all': 0.07329907256675243}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2859372017405337
[I 2022-11-02 20:35:05,126] Trial 399 finished with value: 2.284935291212305 and parameters: {'n_factors': 50, 'n_epochs': 126, 'lr_all': 0.08133644489426617, 'reg_all': 0.07081782101222012}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.284935291212305
[I 2022-11-02 20:35:30,668] Trial 400 finished with value: 2.2829444287127014 and parameters: {'n_factors': 55, 'n_epochs': 133, 'lr_all': 0.07052596066055998, 'reg_all': 0.06905783806864357}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2829444287127014
[I 2022-11-02 20:35:54,782] Trial 401 finished with value: 2.283658199057681 and parameters: {'n_factors': 58, 'n_epochs': 123, 'lr_all': 0.09963996819312289, 'reg_all': 0.0758042458047969}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.283658199057681
[I 2022-11-02 20:36:26,590] Trial 402 finished with value: 2.274612499994403 and parameters: {'n_factors': 104, 'n_epochs': 130, 'lr_all': 0.09088529548325965, 'reg_all': 0.07324639688519324}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.274612499994403
[I 2022-11-02 20:36:50,083] Trial 403 finished with value: 2.2837688134925105 and parameters: {'n_factors': 52, 'n_epochs': 125, 'lr_all': 0.09975372467465249, 'reg_all': 0.07799648355078385}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2837688134925105
[I 2022-11-02 20:36:57,027] Trial 404 finished with value: 2.253293538083904 and parameters: {'n_factors': 50, 'n_epochs': 33, 'lr_all': 0.08492178307457814, 'reg_all': 0.06903032015391118}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.253293538083904
[I 2022-11-02 20:37:21,498] Trial 405 finished with value: 2.2857126123068148 and parameters: {'n_factors': 55, 'n_epochs': 124, 'lr_all': 0.09036261969715431, 'reg_all': 0.06738451344418717}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2857126123068148
[I 2022-11-02 20:37:47,395] Trial 406 finished with value: 2.2521866541885847 and parameters: {'n_factors': 62, 'n_epochs': 129, 'lr_all': 0.07507423128358039, 'reg_all': 0.020475834792586464}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2521866541885847
[I 2022-11-02 20:38:10,711] Trial 407 finished with value: 2.2830693546317504 and parameters: {'n_factors': 53, 'n_epochs': 122, 'lr_all': 0.08352824277341396, 'reg_all': 0.0715123700895392}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2830693546317504
[I 2022-11-02 20:38:34,066] Trial 408 finished with value: 2.286981431036816 and parameters: {'n_factors': 50, 'n_epochs': 126, 'lr_all': 0.09190687538460404, 'reg_all': 0.07409916526322301}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.286981431036816
[I 2022-11-02 20:38:59,761] Trial 409 finished with value: 2.277233368669449 and parameters: {'n_factors': 56, 'n_epochs': 133, 'lr_all': 0.07812818346819767, 'reg_all': 0.07626012728314972}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.277233368669449
[I 2022-11-02 20:39:23,573] Trial 410 finished with value: 2.281276905413015 and parameters: {'n_factors': 53, 'n_epochs': 127, 'lr_all': 0.06896804968308533, 'reg_all': 0.07376631240635258}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.281276905413015
[I 2022-11-02 20:39:46,295] Trial 411 finished with value: 2.2860619641141877 and parameters: {'n_factors': 50, 'n_epochs': 125, 'lr_all': 0.09061872277108302, 'reg_all': 0.0814256601717635}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2860619641141877
[I 2022-11-02 20:40:11,802] Trial 412 finished with value: 2.2803622852714716 and parameters: {'n_factors': 59, 'n_epochs': 130, 'lr_all': 0.08462736831861306, 'reg_all': 0.07738483599209134}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2803622852714716
[I 2022-11-02 20:40:35,411] Trial 413 finished with value: 2.285897989302459 and parameters: {'n_factors': 53, 'n_epochs': 127, 'lr_all': 0.09165279171051972, 'reg_all': 0.0702132399782769}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.285897989302459
[I 2022-11-02 20:40:57,618] Trial 414 finished with value: 2.284147003021803 and parameters: {'n_factors': 50, 'n_epochs': 123, 'lr_all': 0.07833503973993966, 'reg_all': 0.07352385415913829}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.284147003021803
[I 2022-11-02 20:41:21,288] Trial 415 finished with value: 2.280394446107408 and parameters: {'n_factors': 56, 'n_epochs': 124, 'lr_all': 0.09974384479715445, 'reg_all': 0.06744021044333205}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.280394446107408
[I 2022-11-02 20:41:24,143] Trial 416 finished with value: 2.212095223196225 and parameters: {'n_factors': 53, 'n_epochs': 11, 'lr_all': 0.00602269572583078, 'reg_all': 0.06705324176661859}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.212095223196225
[I 2022-11-02 20:41:45,813] Trial 417 finished with value: 2.286593019186342 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.09087257379745359, 'reg_all': 0.07874015154761933}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.286593019186342
[I 2022-11-02 20:42:10,513] Trial 418 finished with value: 2.278431804366635 and parameters: {'n_factors': 56, 'n_epochs': 128, 'lr_all': 0.08568576979622201, 'reg_all': 0.07022592067685053}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.278431804366635
[I 2022-11-02 20:42:34,911] Trial 419 finished with value: 2.2309054212032273 and parameters: {'n_factors': 53, 'n_epochs': 131, 'lr_all': 0.007983660458900158, 'reg_all': 0.0737450306416979}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2309054212032273
[I 2022-11-02 20:42:57,952] Trial 420 finished with value: 2.2871952075778545 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.09247003511229387, 'reg_all': 0.0663073112899174}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2871952075778545
[I 2022-11-02 20:43:21,432] Trial 421 finished with value: 2.279933430775715 and parameters: {'n_factors': 58, 'n_epochs': 120, 'lr_all': 0.07996901594776389, 'reg_all': 0.06529503780798504}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.279933430775715
[I 2022-11-02 20:43:54,943] Trial 422 finished with value: 2.272024473934341 and parameters: {'n_factors': 130, 'n_epochs': 122, 'lr_all': 0.09203572785837416, 'reg_all': 0.06756886716228559}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.272024473934341
[I 2022-11-02 20:44:18,408] Trial 423 finished with value: 2.2822911332754323 and parameters: {'n_factors': 53, 'n_epochs': 120, 'lr_all': 0.08439444518598865, 'reg_all': 0.06537840716448233}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2822911332754323
[I 2022-11-02 20:44:41,940] Trial 424 finished with value: 2.2860370121841775 and parameters: {'n_factors': 55, 'n_epochs': 121, 'lr_all': 0.0996332203789947, 'reg_all': 0.06890192653358061}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2860370121841775
[I 2022-11-02 20:45:05,141] Trial 425 finished with value: 2.2785891640150187 and parameters: {'n_factors': 50, 'n_epochs': 124, 'lr_all': 0.07369535715023402, 'reg_all': 0.04818241688520676}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2785891640150187
[I 2022-11-02 20:45:28,332] Trial 426 finished with value: 2.284846131982597 and parameters: {'n_factors': 53, 'n_epochs': 119, 'lr_all': 0.09112655126663055, 'reg_all': 0.07120804717221639}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.284846131982597
[I 2022-11-02 20:45:51,615] Trial 427 finished with value: 2.21033001172585 and parameters: {'n_factors': 58, 'n_epochs': 119, 'lr_all': 0.0011281618064757782, 'reg_all': 0.06403806906188465}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.21033001172585
[I 2022-11-02 20:46:14,993] Trial 428 finished with value: 2.2799870419990764 and parameters: {'n_factors': 50, 'n_epochs': 124, 'lr_all': 0.06545233267744402, 'reg_all': 0.0674637434270771}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2799870419990764
[I 2022-11-02 20:46:39,016] Trial 429 finished with value: 2.2845251299440723 and parameters: {'n_factors': 55, 'n_epochs': 122, 'lr_all': 0.08428645890068102, 'reg_all': 0.0704080095922469}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2845251299440723
[I 2022-11-02 20:47:02,687] Trial 430 finished with value: 2.2779167331501897 and parameters: {'n_factors': 62, 'n_epochs': 118, 'lr_all': 0.09965077999439347, 'reg_all': 0.06522121681123114}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2779167331501897
[I 2022-11-02 20:47:26,727] Trial 431 finished with value: 2.286233055726721 and parameters: {'n_factors': 53, 'n_epochs': 126, 'lr_all': 0.09997727202945679, 'reg_all': 0.06463572915263788}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.286233055726721
[I 2022-11-02 20:47:49,435] Trial 432 finished with value: 2.283504757261034 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.0778068799308611, 'reg_all': 0.06871481275565694}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.283504757261034
[I 2022-11-02 20:48:12,067] Trial 433 finished with value: 2.2787786964365164 and parameters: {'n_factors': 56, 'n_epochs': 117, 'lr_all': 0.09138743426791567, 'reg_all': 0.07153525855841365}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2787786964365164
[I 2022-11-02 20:48:36,842] Trial 434 finished with value: 2.283586832062681 and parameters: {'n_factors': 53, 'n_epochs': 130, 'lr_all': 0.08532370946783245, 'reg_all': 0.06322394334515898}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.283586832062681
[I 2022-11-02 20:48:59,746] Trial 435 finished with value: 2.287077632953057 and parameters: {'n_factors': 50, 'n_epochs': 123, 'lr_all': 0.09134320035907033, 'reg_all': 0.06717901521893438}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.287077632953057
[I 2022-11-02 20:49:24,490] Trial 436 finished with value: 2.2804408998474743 and parameters: {'n_factors': 59, 'n_epochs': 124, 'lr_all': 0.09179604903206212, 'reg_all': 0.06679511763019069}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2804408998474743
[I 2022-11-02 20:49:50,556] Trial 437 finished with value: 2.2860120599818163 and parameters: {'n_factors': 53, 'n_epochs': 134, 'lr_all': 0.09995878758391809, 'reg_all': 0.05851092376390161}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2860120599818163
[I 2022-11-02 20:50:14,160] Trial 438 finished with value: 2.2814483558692937 and parameters: {'n_factors': 50, 'n_epochs': 127, 'lr_all': 0.07258804007019025, 'reg_all': 0.06285801421570557}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2814483558692937
[I 2022-11-02 20:50:25,652] Trial 439 finished with value: 2.2548805696567693 and parameters: {'n_factors': 56, 'n_epochs': 57, 'lr_all': 0.0808468805285092, 'reg_all': 0.05184468887125031}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.2548805696567693
[I 2022-11-02 20:50:48,126] Trial 440 finished with value: 2.28541669094768 and parameters: {'n_factors': 53, 'n_epochs': 116, 'lr_all': 0.09135022689117435, 'reg_all': 0.07695820520082132}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.28541669094768
[I 2022-11-02 20:51:10,528] Trial 441 finished with value: 2.284978086406835 and parameters: {'n_factors': 50, 'n_epochs': 119, 'lr_all': 0.08520129100757402, 'reg_all': 0.0665609755669932}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.284978086406835
[I 2022-11-02 20:51:33,540] Trial 442 finished with value: 2.28570548212212 and parameters: {'n_factors': 53, 'n_epochs': 123, 'lr_all': 0.09185058472934356, 'reg_all': 0.0727935248930506}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.28570548212212
[I 2022-11-02 20:51:57,151] Trial 443 finished with value: 2.224566335920422 and parameters: {'n_factors': 56, 'n_epochs': 127, 'lr_all': 0.0038003933604904335, 'reg_all': 0.06014034171587052}. Best is trial 393 with value: 2.287672569725445.
SVD Classifier: 2.224566335920422
[I 2022-11-02 20:52:17,795] Trial 444 finished with value: 2.287679693779169 and parameters: {'n_factors': 50, 'n_epochs': 115, 'lr_all': 0.09984763881446461, 'reg_all': 0.06394460121501118}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.287679693779169
[I 2022-11-02 20:52:39,656] Trial 445 finished with value: 2.2779131558595394 and parameters: {'n_factors': 60, 'n_epochs': 115, 'lr_all': 0.0926054464262999, 'reg_all': 0.06310068664637533}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2779131558595394
[I 2022-11-02 20:53:01,082] Trial 446 finished with value: 2.2800871129100133 and parameters: {'n_factors': 53, 'n_epochs': 115, 'lr_all': 0.08080634986270482, 'reg_all': 0.054729082202546395}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2800871129100133
[I 2022-11-02 20:53:14,318] Trial 447 finished with value: 2.2791434125905163 and parameters: {'n_factors': 50, 'n_epochs': 70, 'lr_all': 0.09992239179360554, 'reg_all': 0.05814035499372108}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2791434125905163
[I 2022-11-02 20:53:36,663] Trial 448 finished with value: 2.2794794718872247 and parameters: {'n_factors': 56, 'n_epochs': 118, 'lr_all': 0.09976411154794808, 'reg_all': 0.06102913417219306}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2794794718872247
[I 2022-11-02 20:53:57,496] Trial 449 finished with value: 2.2821197461351 and parameters: {'n_factors': 53, 'n_epochs': 114, 'lr_all': 0.08509954236553871, 'reg_all': 0.06401987036658316}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2821197461351
[I 2022-11-02 20:54:18,754] Trial 450 finished with value: 2.282205441314102 and parameters: {'n_factors': 50, 'n_epochs': 118, 'lr_all': 0.07554778419433031, 'reg_all': 0.066037802241778}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.282205441314102
[I 2022-11-02 20:54:39,973] Trial 451 finished with value: 2.253749155797174 and parameters: {'n_factors': 58, 'n_epochs': 110, 'lr_all': 0.09088592400852707, 'reg_all': 0.016974279850291648}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.253749155797174
[I 2022-11-02 20:55:02,568] Trial 452 finished with value: 2.286072657715107 and parameters: {'n_factors': 53, 'n_epochs': 120, 'lr_all': 0.0999907433766542, 'reg_all': 0.07040693063515512}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.286072657715107
[I 2022-11-02 20:55:18,833] Trial 453 finished with value: 2.276671496623567 and parameters: {'n_factors': 55, 'n_epochs': 85, 'lr_all': 0.08485898269893391, 'reg_all': 0.059846266832287304}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.276671496623567
[I 2022-11-02 20:55:42,337] Trial 454 finished with value: 2.287558581848548 and parameters: {'n_factors': 50, 'n_epochs': 130, 'lr_all': 0.09201070707363075, 'reg_all': 0.06348746846287505}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.287558581848548
[I 2022-11-02 20:56:06,835] Trial 455 finished with value: 2.279561691617833 and parameters: {'n_factors': 53, 'n_epochs': 132, 'lr_all': 0.0684312307418132, 'reg_all': 0.056941992409366565}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.279561691617833
[I 2022-11-02 20:56:30,622] Trial 456 finished with value: 2.2274217055800536 and parameters: {'n_factors': 50, 'n_epochs': 131, 'lr_all': 0.005344667683575677, 'reg_all': 0.06247971257861249}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2274217055800536
[I 2022-11-02 20:56:54,554] Trial 457 finished with value: 2.2764782092179754 and parameters: {'n_factors': 56, 'n_epochs': 129, 'lr_all': 0.07855115344932288, 'reg_all': 0.06435942956415006}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2764782092179754
[I 2022-11-02 20:57:20,786] Trial 458 finished with value: 2.2797833126432847 and parameters: {'n_factors': 61, 'n_epochs': 134, 'lr_all': 0.08500971711933225, 'reg_all': 0.06048588482281359}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2797833126432847
[I 2022-11-02 20:57:41,887] Trial 459 finished with value: 2.283483345958053 and parameters: {'n_factors': 53, 'n_epochs': 115, 'lr_all': 0.09157591535974632, 'reg_all': 0.06654102707952157}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.283483345958053
[I 2022-11-02 20:58:01,731] Trial 460 finished with value: 2.260943659159362 and parameters: {'n_factors': 50, 'n_epochs': 110, 'lr_all': 0.04214580233962271, 'reg_all': 0.06230612483314845}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.260943659159362
[I 2022-11-02 20:58:06,932] Trial 461 finished with value: 2.239556436329105 and parameters: {'n_factors': 58, 'n_epochs': 22, 'lr_all': 0.07461817352685363, 'reg_all': 0.06716513143548886}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.239556436329105
[I 2022-11-02 20:58:28,442] Trial 462 finished with value: 2.2829836918810167 and parameters: {'n_factors': 55, 'n_epochs': 116, 'lr_all': 0.09184970902982922, 'reg_all': 0.05811654477933151}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2829836918810167
[I 2022-11-02 20:58:51,602] Trial 463 finished with value: 2.2816376507817697 and parameters: {'n_factors': 52, 'n_epochs': 128, 'lr_all': 0.08207721199843601, 'reg_all': 0.06271071905324122}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2816376507817697
[I 2022-11-02 20:59:13,425] Trial 464 finished with value: 2.2856555702064565 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.09235951868782026, 'reg_all': 0.053397316364952686}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2856555702064565
[I 2022-11-02 20:59:31,179] Trial 465 finished with value: 2.2695376232802875 and parameters: {'n_factors': 80, 'n_epochs': 79, 'lr_all': 0.08529894241816338, 'reg_all': 0.06474418266786837}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2695376232802875
[I 2022-11-02 21:00:00,450] Trial 466 finished with value: 2.273089434200322 and parameters: {'n_factors': 118, 'n_epochs': 113, 'lr_all': 0.09198119641488399, 'reg_all': 0.068132792465624}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.273089434200322
[I 2022-11-02 21:00:26,700] Trial 467 finished with value: 2.2840792189387495 and parameters: {'n_factors': 55, 'n_epochs': 136, 'lr_all': 0.0800935077009369, 'reg_all': 0.07020968993035687}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2840792189387495
[I 2022-11-02 21:00:50,856] Trial 468 finished with value: 2.2841648406040687 and parameters: {'n_factors': 53, 'n_epochs': 125, 'lr_all': 0.09198985816932213, 'reg_all': 0.05606474373451226}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2841648406040687
[I 2022-11-02 21:01:12,748] Trial 469 finished with value: 2.2871845192253533 and parameters: {'n_factors': 50, 'n_epochs': 118, 'lr_all': 0.09990562923358831, 'reg_all': 0.05997006632378759}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2871845192253533
[I 2022-11-02 21:01:35,244] Trial 470 finished with value: 2.282405384219232 and parameters: {'n_factors': 58, 'n_epochs': 118, 'lr_all': 0.09992455120394918, 'reg_all': 0.05951894247804034}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.282405384219232
[I 2022-11-02 21:01:57,771] Trial 471 finished with value: 2.284846131982597 and parameters: {'n_factors': 53, 'n_epochs': 121, 'lr_all': 0.09996651204457412, 'reg_all': 0.05708899043722303}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.284846131982597
[I 2022-11-02 21:02:18,998] Trial 472 finished with value: 2.2835904004654024 and parameters: {'n_factors': 50, 'n_epochs': 118, 'lr_all': 0.08697243391890921, 'reg_all': 0.054309553179029434}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2835904004654024
[I 2022-11-02 21:02:42,473] Trial 473 finished with value: 2.2748346031845963 and parameters: {'n_factors': 56, 'n_epochs': 124, 'lr_all': 0.0748032727604011, 'reg_all': 0.06068924510620162}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2748346031845963
[I 2022-11-02 21:03:07,182] Trial 474 finished with value: 2.2832585151543583 and parameters: {'n_factors': 53, 'n_epochs': 130, 'lr_all': 0.08565073326498762, 'reg_all': 0.058725054634158384}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.2832585151543583
[I 2022-11-02 21:03:29,352] Trial 475 finished with value: 2.287508710366286 and parameters: {'n_factors': 50, 'n_epochs': 121, 'lr_all': 0.09963396264465035, 'reg_all': 0.06342995883700117}. Best is trial 444 with value: 2.287679693779169.
SVD Classifier: 2.287508710366286
[I 2022-11-02 21:03:52,436] Trial 476 finished with value: 2.2877188756780997 and parameters: {'n_factors': 50, 'n_epochs': 127, 'lr_all': 0.09310403231193812, 'reg_all': 0.06404241064350166}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2877188756780997
[I 2022-11-02 21:04:17,524] Trial 477 finished with value: 2.286739126797366 and parameters: {'n_factors': 55, 'n_epochs': 134, 'lr_all': 0.0996526113133713, 'reg_all': 0.0644910983165601}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.286739126797366
[I 2022-11-02 21:04:42,064] Trial 478 finished with value: 2.277458794275871 and parameters: {'n_factors': 60, 'n_epochs': 128, 'lr_all': 0.08082654452968531, 'reg_all': 0.06539103018794588}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.277458794275871
[I 2022-11-02 21:05:15,822] Trial 479 finished with value: 2.2737274541592534 and parameters: {'n_factors': 133, 'n_epochs': 126, 'lr_all': 0.09206004318715716, 'reg_all': 0.06728959164616242}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2737274541592534
[I 2022-11-02 21:05:39,567] Trial 480 finished with value: 2.2838865584555497 and parameters: {'n_factors': 52, 'n_epochs': 131, 'lr_all': 0.0996700573513359, 'reg_all': 0.06361606937124464}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2838865584555497
[I 2022-11-02 21:06:01,978] Trial 481 finished with value: 2.2758302187414827 and parameters: {'n_factors': 50, 'n_epochs': 126, 'lr_all': 0.08544289982442116, 'reg_all': 0.03038020601414579}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2758302187414827
[I 2022-11-02 21:06:26,476] Trial 482 finished with value: 2.2753575347371493 and parameters: {'n_factors': 64, 'n_epochs': 124, 'lr_all': 0.06802852045824737, 'reg_all': 0.07095154626074825}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2753575347371493
[I 2022-11-02 21:06:51,441] Trial 483 finished with value: 2.2850993351055995 and parameters: {'n_factors': 55, 'n_epochs': 128, 'lr_all': 0.09121318033097396, 'reg_all': 0.062117922450536746}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2850993351055995
[I 2022-11-02 21:07:31,120] Trial 484 finished with value: 2.271142007526393 and parameters: {'n_factors': 200, 'n_epochs': 122, 'lr_all': 0.0999943283072589, 'reg_all': 0.06588525148681698}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.271142007526393
[I 2022-11-02 21:07:56,440] Trial 485 finished with value: 2.2787643926527923 and parameters: {'n_factors': 53, 'n_epochs': 130, 'lr_all': 0.07703603528595618, 'reg_all': 0.0451626707580972}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2787643926527923
[I 2022-11-02 21:08:19,316] Trial 486 finished with value: 2.285865905898253 and parameters: {'n_factors': 50, 'n_epochs': 122, 'lr_all': 0.08581182479032527, 'reg_all': 0.06982746278618088}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.285865905898253
[I 2022-11-02 21:08:43,982] Trial 487 finished with value: 2.2832656529804445 and parameters: {'n_factors': 58, 'n_epochs': 126, 'lr_all': 0.0916116916815916, 'reg_all': 0.0734074713701745}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2832656529804445
[I 2022-11-02 21:09:07,364] Trial 488 finished with value: 2.281784075695862 and parameters: {'n_factors': 53, 'n_epochs': 120, 'lr_all': 0.07926620196196757, 'reg_all': 0.0636687320723174}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.281784075695862
[I 2022-11-02 21:09:33,359] Trial 489 finished with value: 2.279061177770015 and parameters: {'n_factors': 56, 'n_epochs': 133, 'lr_all': 0.08708877891797712, 'reg_all': 0.0672318276851723}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.279061177770015
[I 2022-11-02 21:09:56,572] Trial 490 finished with value: 2.2869671785569072 and parameters: {'n_factors': 50, 'n_epochs': 124, 'lr_all': 0.09266466455999488, 'reg_all': 0.06096504382801636}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2869671785569072
[I 2022-11-02 21:10:10,839] Trial 491 finished with value: 2.212887083638825 and parameters: {'n_factors': 169, 'n_epochs': 42, 'lr_all': 0.018047377731865315, 'reg_all': 0.04258809968404714}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.212887083638825
[I 2022-11-02 21:10:33,518] Trial 492 finished with value: 2.2860191892102826 and parameters: {'n_factors': 53, 'n_epochs': 118, 'lr_all': 0.09966764297845183, 'reg_all': 0.06898596394142206}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2860191892102826
[I 2022-11-02 21:10:56,025] Trial 493 finished with value: 2.2826053096105294 and parameters: {'n_factors': 50, 'n_epochs': 120, 'lr_all': 0.07200757117285786, 'reg_all': 0.07961851707133816}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2826053096105294
[I 2022-11-02 21:11:21,258] Trial 494 finished with value: 2.2812447570179306 and parameters: {'n_factors': 58, 'n_epochs': 127, 'lr_all': 0.08404743723486886, 'reg_all': 0.06480707197812095}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2812447570179306
[I 2022-11-02 21:11:43,524] Trial 495 finished with value: 2.2839222375489463 and parameters: {'n_factors': 55, 'n_epochs': 116, 'lr_all': 0.09200638622514137, 'reg_all': 0.05966503492848532}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2839222375489463
[I 2022-11-02 21:12:08,464] Trial 496 finished with value: 2.2392544153594787 and parameters: {'n_factors': 53, 'n_epochs': 137, 'lr_all': 0.010942802472220896, 'reg_all': 0.07389407317137017}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2392544153594787
[I 2022-11-02 21:12:30,799] Trial 497 finished with value: 2.2831657213845853 and parameters: {'n_factors': 50, 'n_epochs': 123, 'lr_all': 0.07922661780973896, 'reg_all': 0.06202429843488009}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.2831657213845853
[I 2022-11-02 21:12:55,895] Trial 498 finished with value: 2.286133253842155 and parameters: {'n_factors': 53, 'n_epochs': 130, 'lr_all': 0.09991434105244232, 'reg_all': 0.06648199155141667}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.286133253842155
[I 2022-11-02 21:13:19,565] Trial 499 finished with value: 2.279679653877821 and parameters: {'n_factors': 61, 'n_epochs': 119, 'lr_all': 0.0867281248429064, 'reg_all': 0.07105858362528197}. Best is trial 476 with value: 2.2877188756780997.
SVD Classifier: 2.279679653877821
score: 2.2877188756780997, params: {'n_factors': 50, 'n_epochs': 127, 'lr_all': 0.09310403231193812, 'reg_all': 0.06404241064350166}
optuna.visualization.plot_param_importances(svd_study) # 파라미터 중요도 확인 그래프
optuna.visualization.plot_optimization_history(svd_study) # 최적화 과정 시각화
# LGBM_r
def lgbm_r_objective(trial):
param = {
'objective':'rmse',
'boosting_type':'gbdt',
'num_leaves': trial.suggest_int('num_leaves', 10, 150),
'max_depth': trial.suggest_int('max_depth', 3, 20),
'learning_rate': trial.suggest_loguniform("learning_rate", 0.01, 0.1),
'n_estimators': trial.suggest_int('n_estimators', 50, 3000),
'class_weight':trial.suggest_categorical('class_weight',[None,'balanced']),
'min_child_samples': trial.suggest_int('min_child_samples', 2, 50),
'min_child_weight': trial.suggest_uniform('min_child_weight', 0, 1),
'reg_alpha':trial.suggest_float('reg_alpha',0,1),
'reg_lambda':trial.suggest_float('reg_lambda',0,1)
}
fold = StratifiedKFold(n_splits=5, shuffle=True, random_state=SEED)
cv_scores = []
for train_idx, val_idx in fold.split(X_train, y_train):
X_tr, X_val = X_train.iloc[train_idx], X_train.iloc[val_idx]
y_tr, y_val = y_train.iloc[train_idx], y_train.iloc[val_idx]
model = LGBMRegressor(**param, n_jobs=-1, random_state=SEED)
model.fit(X_tr, y_tr, eval_set=[(X_val, y_val)],
callbacks=[early_stopping(stopping_rounds=50, verbose=False)])
y_pred = model.predict(X_val)
score = rmse(y_val, y_pred)
cv_scores.append(score)
print("LGBM Regressor: ",score)
return np.mean(cv_scores)
lgb_roc_study = optuna.create_study(direction='maximize', sampler=optuna.samplers.TPESampler(seed=42))
lgb_roc_study.optimize(lgbm_r_objective, n_trials=trials)
lgb_roc_best = lgb_roc_study.best_trial
lgb_roc_best_params = lgb_roc_best.params
model_scores['lgb_r'] = lgb_roc_best.value
model_params['lgb_r'] = lgb_roc_best_params
print('score: {0}, params: {1}'.format(lgb_roc_best.value, lgb_roc_best_params))
[I 2022-11-03 01:18:38,453] A new study created in memory with name: no-name-2169b889-fa45-4c18-bb74-d1c371b12dd7
LGBM Regressor: 2.3919800252600063 LGBM Regressor: 2.3891025760750066 LGBM Regressor: 2.3924288929779283 LGBM Regressor: 2.3916552072865467
[I 2022-11-03 01:19:08,834] Trial 0 finished with value: 2.391261520925382 and parameters: {'num_leaves': 62, 'max_depth': 20, 'learning_rate': 0.05395030966670229, 'n_estimators': 1816, 'class_weight': None, 'min_child_samples': 4, 'min_child_weight': 0.8661761457749352, 'reg_alpha': 0.6011150117432088, 'reg_lambda': 0.7080725777960455}. Best is trial 0 with value: 2.391261520925382.
LGBM Regressor: 2.3911409030274227 LGBM Regressor: 2.827852561907342 LGBM Regressor: 2.825472968380633 LGBM Regressor: 2.8291749111047486 LGBM Regressor: 2.8309261402894874
[I 2022-11-03 01:19:28,992] Trial 1 finished with value: 2.8278186084492374 and parameters: {'num_leaves': 12, 'max_depth': 20, 'learning_rate': 0.06798962421591129, 'n_estimators': 676, 'class_weight': 'balanced', 'min_child_samples': 16, 'min_child_weight': 0.5247564316322378, 'reg_alpha': 0.43194501864211576, 'reg_lambda': 0.2912291401980419}. Best is trial 1 with value: 2.8278186084492374.
LGBM Regressor: 2.8256664605639754 LGBM Regressor: 2.828097871380376 LGBM Regressor: 2.8265849273259716 LGBM Regressor: 2.8303654593275738 LGBM Regressor: 2.8318951994263113
[I 2022-11-03 01:20:15,350] Trial 2 finished with value: 2.8290344637500597 and parameters: {'num_leaves': 96, 'max_depth': 5, 'learning_rate': 0.019594972058679168, 'n_estimators': 1131, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.5142344384136116, 'reg_alpha': 0.5924145688620425, 'reg_lambda': 0.046450412719997725}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.8282288612900666 LGBM Regressor: 2.392944346604092 LGBM Regressor: 2.3898071775555008 LGBM Regressor: 2.3925103408525352 LGBM Regressor: 2.3919302197286205
[I 2022-11-03 01:22:12,084] Trial 3 finished with value: 2.391696088887076 and parameters: {'num_leaves': 95, 'max_depth': 6, 'learning_rate': 0.011615865989246453, 'n_estimators': 2850, 'class_weight': None, 'min_child_samples': 16, 'min_child_weight': 0.09767211400638387, 'reg_alpha': 0.6842330265121569, 'reg_lambda': 0.4401524937396013}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.3912883596946313 LGBM Regressor: 2.8208975921341457 LGBM Regressor: 2.819047454832547 LGBM Regressor: 2.823712950746422 LGBM Regressor: 2.824712615346671
[I 2022-11-03 01:23:52,088] Trial 4 finished with value: 2.8217639890729904 and parameters: {'num_leaves': 27, 'max_depth': 11, 'learning_rate': 0.01082401838150096, 'n_estimators': 2733, 'class_weight': 'balanced', 'min_child_samples': 17, 'min_child_weight': 0.5200680211778108, 'reg_alpha': 0.5467102793432796, 'reg_lambda': 0.18485445552552704}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.820449332305166 LGBM Regressor: 2.7798979018877508 LGBM Regressor: 2.7774885999053107 LGBM Regressor: 2.7834940713044234 LGBM Regressor: 2.78799808717867
[I 2022-11-03 01:25:08,177] Trial 5 finished with value: 2.7831302567791596 and parameters: {'num_leaves': 146, 'max_depth': 16, 'learning_rate': 0.08699593128513321, 'n_estimators': 2690, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.1959828624191452, 'reg_alpha': 0.045227288910538066, 'reg_lambda': 0.32533033076326434}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.786772623619645 LGBM Regressor: 2.8009886776387374 LGBM Regressor: 2.797306854346685 LGBM Regressor: 2.804104053941627 LGBM Regressor: 2.802817144374421
[I 2022-11-03 01:26:10,422] Trial 6 finished with value: 2.801865910899887 and parameters: {'num_leaves': 64, 'max_depth': 7, 'learning_rate': 0.0674120461070276, 'n_estimators': 1102, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.8021969807540397, 'reg_alpha': 0.07455064367977082, 'reg_lambda': 0.9868869366005173}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.8041128241979627 LGBM Regressor: 2.823730145681089 LGBM Regressor: 2.821385491581091 LGBM Regressor: 2.8263962252472337 LGBM Regressor: 2.825827933994692
[I 2022-11-03 01:27:59,337] Trial 7 finished with value: 2.8240132475997215 and parameters: {'num_leaves': 118, 'max_depth': 6, 'learning_rate': 0.010127963257331486, 'n_estimators': 2456, 'class_weight': 'balanced', 'min_child_samples': 39, 'min_child_weight': 0.07404465173409036, 'reg_alpha': 0.3584657285442726, 'reg_lambda': 0.11586905952512971}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.822726441494502 LGBM Regressor: 2.8217857922484577 LGBM Regressor: 2.821345717909234 LGBM Regressor: 2.8240025652114458 LGBM Regressor: 2.826013380963202
[I 2022-11-03 01:28:32,167] Trial 8 finished with value: 2.822968029205936 and parameters: {'num_leaves': 131, 'max_depth': 14, 'learning_rate': 0.02142387495644906, 'n_estimators': 237, 'class_weight': 'balanced', 'min_child_samples': 37, 'min_child_weight': 0.6375574713552131, 'reg_alpha': 0.8872127425763265, 'reg_lambda': 0.4722149251619493}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.821692689697338 LGBM Regressor: 2.3928903921045768 LGBM Regressor: 2.389018645657165 LGBM Regressor: 2.390653652131767 LGBM Regressor: 2.3908261483509032
[I 2022-11-03 01:29:04,816] Trial 9 finished with value: 2.390679760605778 and parameters: {'num_leaves': 26, 'max_depth': 15, 'learning_rate': 0.057648106701146694, 'n_estimators': 1706, 'class_weight': None, 'min_child_samples': 27, 'min_child_weight': 0.42754101835854963, 'reg_alpha': 0.02541912674409519, 'reg_lambda': 0.10789142699330445}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.390009964784478 LGBM Regressor: 2.4010182384963334 LGBM Regressor: 2.3992381007096855 LGBM Regressor: 2.400993572617611 LGBM Regressor: 2.400837208255356
[I 2022-11-03 01:29:33,212] Trial 10 finished with value: 2.400052721919523 and parameters: {'num_leaves': 93, 'max_depth': 3, 'learning_rate': 0.02691393495645885, 'n_estimators': 1073, 'class_weight': None, 'min_child_samples': 28, 'min_child_weight': 0.34314604846235, 'reg_alpha': 0.946943320545304, 'reg_lambda': 0.7446608994507358}. Best is trial 2 with value: 2.8290344637500597.
LGBM Regressor: 2.398176489518628 LGBM Regressor: 2.843938960440091 LGBM Regressor: 2.8404102438090413 LGBM Regressor: 2.8447845455804925 LGBM Regressor: 2.8454260043659216
[I 2022-11-03 01:29:47,002] Trial 11 finished with value: 2.843125411727437 and parameters: {'num_leaves': 11, 'max_depth': 20, 'learning_rate': 0.0382161642439114, 'n_estimators': 358, 'class_weight': 'balanced', 'min_child_samples': 16, 'min_child_weight': 0.6671974278810033, 'reg_alpha': 0.30607841205069686, 'reg_lambda': 0.004780810872969214}. Best is trial 11 with value: 2.843125411727437.
LGBM Regressor: 2.841067304441637 LGBM Regressor: 2.8395144312007776 LGBM Regressor: 2.8385560040038333 LGBM Regressor: 2.8415356707706754 LGBM Regressor: 2.842720927700707
[I 2022-11-03 01:29:56,251] Trial 12 finished with value: 2.8399816993948415 and parameters: {'num_leaves': 63, 'max_depth': 11, 'learning_rate': 0.037026117263317254, 'n_estimators': 79, 'class_weight': 'balanced', 'min_child_samples': 20, 'min_child_weight': 0.7011625953937599, 'reg_alpha': 0.26658369731495457, 'reg_lambda': 0.0031082637177768657}. Best is trial 11 with value: 2.843125411727437.
LGBM Regressor: 2.8375814632982137 LGBM Regressor: 2.849503251474896 LGBM Regressor: 2.8490466709008198 LGBM Regressor: 2.851255711830091 LGBM Regressor: 2.85167516197773
[I 2022-11-03 01:30:03,270] Trial 13 finished with value: 2.8497613394560926 and parameters: {'num_leaves': 44, 'max_depth': 10, 'learning_rate': 0.037565758117396764, 'n_estimators': 55, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.9921082241781, 'reg_alpha': 0.2589124265154938, 'reg_lambda': 0.018292092421314136}. Best is trial 13 with value: 2.8497613394560926.
LGBM Regressor: 2.8473259010969243 LGBM Regressor: 2.817908225853386 LGBM Regressor: 2.817390003282109 LGBM Regressor: 2.819539325544045 LGBM Regressor: 2.8227832717043597
[I 2022-11-03 01:30:33,295] Trial 14 finished with value: 2.819390912204099 and parameters: {'num_leaves': 42, 'max_depth': 13, 'learning_rate': 0.03954831345820318, 'n_estimators': 584, 'class_weight': 'balanced', 'min_child_samples': 46, 'min_child_weight': 0.9775032858846726, 'reg_alpha': 0.23711506185977577, 'reg_lambda': 0.26700433958806746}. Best is trial 13 with value: 2.8497613394560926.
LGBM Regressor: 2.8193337346365976 LGBM Regressor: 2.8201013987294816 LGBM Regressor: 2.819420357997186 LGBM Regressor: 2.822058371977295 LGBM Regressor: 2.8239122308400213
[I 2022-11-03 01:31:00,217] Trial 15 finished with value: 2.8213328985025212 and parameters: {'num_leaves': 37, 'max_depth': 17, 'learning_rate': 0.04268339156848607, 'n_estimators': 499, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.9794255917727441, 'reg_alpha': 0.2303256924987191, 'reg_lambda': 0.6423620561394953}. Best is trial 13 with value: 2.8497613394560926.
LGBM Regressor: 2.821172132968622 LGBM Regressor: 2.869694493923258 LGBM Regressor: 2.8695615994019685 LGBM Regressor: 2.870412004941996 LGBM Regressor: 2.870972508045371
[I 2022-11-03 01:31:02,982] Trial 16 finished with value: 2.869744681176064 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.02750108543596555, 'n_estimators': 57, 'class_weight': 'balanced', 'min_child_samples': 31, 'min_child_weight': 0.7574846332086538, 'reg_alpha': 0.3887691947863865, 'reg_lambda': 0.19029119128000968}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.868082799567727 LGBM Regressor: 2.806089426357455 LGBM Regressor: 2.8026442562070786 LGBM Regressor: 2.8063519276028 LGBM Regressor: 2.80830764347496
[I 2022-11-03 01:32:41,537] Trial 17 finished with value: 2.8060299652464225 and parameters: {'num_leaves': 48, 'max_depth': 10, 'learning_rate': 0.026342414502153837, 'n_estimators': 2078, 'class_weight': 'balanced', 'min_child_samples': 33, 'min_child_weight': 0.8139937055778319, 'reg_alpha': 0.21112687106595993, 'reg_lambda': 0.17508504057930896}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8067565725898174 LGBM Regressor: 2.4169178463648504 LGBM Regressor: 2.416712450430012 LGBM Regressor: 2.4176657248025575 LGBM Regressor: 2.4170193121752086
[I 2022-11-03 01:32:44,668] Trial 18 finished with value: 2.4168964502673074 and parameters: {'num_leaves': 26, 'max_depth': 9, 'learning_rate': 0.016008733074324436, 'n_estimators': 50, 'class_weight': None, 'min_child_samples': 47, 'min_child_weight': 0.8868055134355081, 'reg_alpha': 0.4607551042630673, 'reg_lambda': 0.3992946483188063}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.4161669175639098 LGBM Regressor: 2.812930215304127 LGBM Regressor: 2.8086135397358336 LGBM Regressor: 2.8141276224183667 LGBM Regressor: 2.8135788571851172
[I 2022-11-03 01:33:47,204] Trial 19 finished with value: 2.8122333564636617 and parameters: {'num_leaves': 76, 'max_depth': 8, 'learning_rate': 0.030154112393049857, 'n_estimators': 938, 'class_weight': 'balanced', 'min_child_samples': 32, 'min_child_weight': 0.7412082451295106, 'reg_alpha': 0.6964147260884376, 'reg_lambda': 0.5407926469551871}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.811916547674864 LGBM Regressor: 2.821649053841037 LGBM Regressor: 2.8208711729930753 LGBM Regressor: 2.8238354562732657 LGBM Regressor: 2.8252469692959736
[I 2022-11-03 01:34:34,907] Trial 20 finished with value: 2.822689369104574 and parameters: {'num_leaves': 52, 'max_depth': 12, 'learning_rate': 0.017320126777727776, 'n_estimators': 809, 'class_weight': 'balanced', 'min_child_samples': 42, 'min_child_weight': 0.9192682571186594, 'reg_alpha': 0.16840544764412294, 'reg_lambda': 0.2226568873043975}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8218441931195186 LGBM Regressor: 2.842289061634398 LGBM Regressor: 2.8401299669543407 LGBM Regressor: 2.8428688878883337 LGBM Regressor: 2.8428841428238925
[I 2022-11-03 01:34:49,320] Trial 21 finished with value: 2.841436946920588 and parameters: {'num_leaves': 10, 'max_depth': 18, 'learning_rate': 0.04618124896478262, 'n_estimators': 390, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.643164937382362, 'reg_alpha': 0.32876675187407023, 'reg_lambda': 0.008795962408774526}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8390126753019755 LGBM Regressor: 2.8406235219542073 LGBM Regressor: 2.8383947341171507 LGBM Regressor: 2.8416133776103756 LGBM Regressor: 2.8422974481273107
[I 2022-11-03 01:35:03,621] Trial 22 finished with value: 2.840226567110902 and parameters: {'num_leaves': 18, 'max_depth': 9, 'learning_rate': 0.03340470205415969, 'n_estimators': 316, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.6243828061453065, 'reg_alpha': 0.3894796214910498, 'reg_lambda': 0.11721529205795053}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8382037537454647 LGBM Regressor: 2.813780070221838 LGBM Regressor: 2.8123130193887476 LGBM Regressor: 2.816965122055663 LGBM Regressor: 2.8189625793786908
[I 2022-11-03 01:36:10,249] Trial 23 finished with value: 2.8152243091846314 and parameters: {'num_leaves': 37, 'max_depth': 13, 'learning_rate': 0.02427102929235667, 'n_estimators': 1401, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.7430195725167069, 'reg_alpha': 0.15684117707469436, 'reg_lambda': 0.08180308675563139}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.814100754878217 LGBM Regressor: 2.836948592060104 LGBM Regressor: 2.836399707197572 LGBM Regressor: 2.8382063039829113 LGBM Regressor: 2.839483055988225
[I 2022-11-03 01:36:26,149] Trial 24 finished with value: 2.837350001726526 and parameters: {'num_leaves': 24, 'max_depth': 9, 'learning_rate': 0.03081955714719456, 'n_estimators': 315, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.827306008205656, 'reg_alpha': 0.3216831472409202, 'reg_lambda': 0.1623739736597059}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8357123494038174 LGBM Regressor: 2.8419945021589332 LGBM Regressor: 2.8388010589402395 LGBM Regressor: 2.843059470530415 LGBM Regressor: 2.844112332357117
[I 2022-11-03 01:36:44,682] Trial 25 finished with value: 2.8413361949155513 and parameters: {'num_leaves': 37, 'max_depth': 3, 'learning_rate': 0.04892031359505855, 'n_estimators': 657, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.40240006445095444, 'reg_alpha': 0.12795852374379063, 'reg_lambda': 0.0009871913281310138}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8387136105910544 LGBM Regressor: 2.865702257915185 LGBM Regressor: 2.865961721871971 LGBM Regressor: 2.8667493438975025 LGBM Regressor: 2.867325847106718
[I 2022-11-03 01:36:47,547] Trial 26 finished with value: 2.865950845294312 and parameters: {'num_leaves': 10, 'max_depth': 18, 'learning_rate': 0.03570721270618275, 'n_estimators': 56, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.6182131509089458, 'reg_alpha': 0.5152294737680297, 'reg_lambda': 0.35776043590341927}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8640150556801833 LGBM Regressor: 2.412659381316132 LGBM Regressor: 2.4126107893578346 LGBM Regressor: 2.413742969176741 LGBM Regressor: 2.4123628907505714
[I 2022-11-03 01:36:56,007] Trial 27 finished with value: 2.412663876976132 and parameters: {'num_leaves': 56, 'max_depth': 12, 'learning_rate': 0.013211452853976182, 'n_estimators': 66, 'class_weight': None, 'min_child_samples': 35, 'min_child_weight': 0.5887983607947229, 'reg_alpha': 0.5261542011456597, 'reg_lambda': 0.3325942739475241}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.411943354279381 LGBM Regressor: 2.810896766182181 LGBM Regressor: 2.809090371740635 LGBM Regressor: 2.811484874013687 LGBM Regressor: 2.8152910870067385
[I 2022-11-03 01:38:03,122] Trial 28 finished with value: 2.811651032733532 and parameters: {'num_leaves': 74, 'max_depth': 18, 'learning_rate': 0.021310530883502835, 'n_estimators': 882, 'class_weight': 'balanced', 'min_child_samples': 20, 'min_child_weight': 0.7562252242620384, 'reg_alpha': 0.78712255878746, 'reg_lambda': 0.38243295302152913}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.811492064724419 LGBM Regressor: 2.391714315249968 LGBM Regressor: 2.3904787762625164 LGBM Regressor: 2.3920523953946176 LGBM Regressor: 2.392636172111408
[I 2022-11-03 01:38:32,699] Trial 29 finished with value: 2.391758537089614 and parameters: {'num_leaves': 20, 'max_depth': 10, 'learning_rate': 0.0551648373374304, 'n_estimators': 1381, 'class_weight': None, 'min_child_samples': 2, 'min_child_weight': 0.9127218250059893, 'reg_alpha': 0.47151167143652756, 'reg_lambda': 0.5537550788816428}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.3919110264295598 LGBM Regressor: 2.8072083067590277 LGBM Regressor: 2.8027435347948946 LGBM Regressor: 2.8092252935859072 LGBM Regressor: 2.811000935887656
[I 2022-11-03 01:39:46,607] Trial 30 finished with value: 2.8077464096032165 and parameters: {'num_leaves': 32, 'max_depth': 14, 'learning_rate': 0.033656943089385445, 'n_estimators': 1965, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.3349233820624095, 'reg_alpha': 0.662949491058737, 'reg_lambda': 0.24055141992623608}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.808553976988599 LGBM Regressor: 2.847772165324185 LGBM Regressor: 2.8445436341358774 LGBM Regressor: 2.847407702478209 LGBM Regressor: 2.8479065907765806
[I 2022-11-03 01:39:55,837] Trial 31 finished with value: 2.846269433315037 and parameters: {'num_leaves': 12, 'max_depth': 20, 'learning_rate': 0.0381494482944628, 'n_estimators': 243, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.6958884447518596, 'reg_alpha': 0.40553724660472734, 'reg_lambda': 0.09790290218804046}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8437170738603346 LGBM Regressor: 2.846169157534483 LGBM Regressor: 2.844200910622559 LGBM Regressor: 2.8466361723138363 LGBM Regressor: 2.846576426290622
[I 2022-11-03 01:40:07,839] Trial 32 finished with value: 2.845235968027893 and parameters: {'num_leaves': 18, 'max_depth': 19, 'learning_rate': 0.027557507633200886, 'n_estimators': 231, 'class_weight': 'balanced', 'min_child_samples': 20, 'min_child_weight': 0.5763576688122805, 'reg_alpha': 0.40985836138289666, 'reg_lambda': 0.15280103670219675}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8425971733779636 LGBM Regressor: 2.837873671963844 LGBM Regressor: 2.8342953398489565 LGBM Regressor: 2.838609757153134 LGBM Regressor: 2.8391912477716525
[I 2022-11-03 01:40:27,195] Trial 33 finished with value: 2.836881033591435 and parameters: {'num_leaves': 11, 'max_depth': 20, 'learning_rate': 0.04622993333901603, 'n_estimators': 509, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.4532735364285546, 'reg_alpha': 0.6048463381052579, 'reg_lambda': 0.2924040089807871}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8344351512195884 LGBM Regressor: 2.830745501849989 LGBM Regressor: 2.830119436392637 LGBM Regressor: 2.8329559020085378 LGBM Regressor: 2.8335165313425197
[I 2022-11-03 01:40:44,947] Trial 34 finished with value: 2.8314852567414004 and parameters: {'num_leaves': 44, 'max_depth': 17, 'learning_rate': 0.03562736886912192, 'n_estimators': 233, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.717157949058167, 'reg_alpha': 0.4239861417274281, 'reg_lambda': 0.07155489771209547}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.830088912113318 LGBM Regressor: 2.8623806898732753 LGBM Regressor: 2.8616591985143303 LGBM Regressor: 2.8628045852820643 LGBM Regressor: 2.8640659704416667
[I 2022-11-03 01:40:50,657] Trial 35 finished with value: 2.8622390289296336 and parameters: {'num_leaves': 18, 'max_depth': 19, 'learning_rate': 0.023050188384438175, 'n_estimators': 73, 'class_weight': 'balanced', 'min_child_samples': 18, 'min_child_weight': 0.5667705790618776, 'reg_alpha': 0.5684839660367831, 'reg_lambda': 0.2158353221875129}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.860284700536831 LGBM Regressor: 2.8260460337713242 LGBM Regressor: 2.825096711416525 LGBM Regressor: 2.828572893822166 LGBM Regressor: 2.829772361925679
[I 2022-11-03 01:41:25,900] Trial 36 finished with value: 2.826877697122336 and parameters: {'num_leaves': 30, 'max_depth': 16, 'learning_rate': 0.02377191033546863, 'n_estimators': 734, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.5452811191414906, 'reg_alpha': 0.5796386711934525, 'reg_lambda': 0.210283593235185}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.824900484675985 LGBM Regressor: 2.846236296207058 LGBM Regressor: 2.84384876222176 LGBM Regressor: 2.846668454092216 LGBM Regressor: 2.846621802695319
[I 2022-11-03 01:41:47,464] Trial 37 finished with value: 2.8451537542393868 and parameters: {'num_leaves': 18, 'max_depth': 8, 'learning_rate': 0.01429326667288452, 'n_estimators': 461, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.4822922022037803, 'reg_alpha': 0.501967411746055, 'reg_lambda': 0.36188835459826973}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.842393455980581 LGBM Regressor: 2.408945551225857 LGBM Regressor: 2.4082988640095855 LGBM Regressor: 2.4096182280540406 LGBM Regressor: 2.40880490425888
[I 2022-11-03 01:41:55,863] Trial 38 finished with value: 2.4086572380146776 and parameters: {'num_leaves': 86, 'max_depth': 5, 'learning_rate': 0.019748617890540568, 'n_estimators': 124, 'class_weight': None, 'min_child_samples': 18, 'min_child_weight': 0.22190265773996526, 'reg_alpha': 0.6511571777458807, 'reg_lambda': 0.2949645485676585}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.407618642525025 LGBM Regressor: 2.8188759960658567 LGBM Regressor: 2.8167987660463663 LGBM Regressor: 2.8224258445020505 LGBM Regressor: 2.8216852550209146
[I 2022-11-03 01:42:35,480] Trial 39 finished with value: 2.8198408662910146 and parameters: {'num_leaves': 111, 'max_depth': 7, 'learning_rate': 0.02887244906364798, 'n_estimators': 586, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.8489234952318958, 'reg_alpha': 0.7483534000575645, 'reg_lambda': 0.41826605773372083}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8194184698198854 LGBM Regressor: 2.840538821914137 LGBM Regressor: 2.839426591342993 LGBM Regressor: 2.842835734326556 LGBM Regressor: 2.842708248535555
[I 2022-11-03 01:42:39,174] Trial 40 finished with value: 2.8407550035068256 and parameters: {'num_leaves': 31, 'max_depth': 19, 'learning_rate': 0.09941364832639737, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.0014500117927535028, 'reg_alpha': 0.5831885714213086, 'reg_lambda': 0.8932078456752283}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8382656214148865 LGBM Regressor: 2.8478857283969585 LGBM Regressor: 2.8465254728985094 LGBM Regressor: 2.848763445917515 LGBM Regressor: 2.848475959466641
[I 2022-11-03 01:42:49,904] Trial 41 finished with value: 2.8471929538723826 and parameters: {'num_leaves': 17, 'max_depth': 19, 'learning_rate': 0.024617642228965984, 'n_estimators': 226, 'class_weight': 'balanced', 'min_child_samples': 18, 'min_child_weight': 0.5869736960982953, 'reg_alpha': 0.3767097895793667, 'reg_lambda': 0.1377126335829732}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8443141626822896 LGBM Regressor: 2.847893842762797 LGBM Regressor: 2.847100667683324 LGBM Regressor: 2.849166189947278 LGBM Regressor: 2.8490935553528915
[I 2022-11-03 01:43:00,523] Trial 42 finished with value: 2.847747397417766 and parameters: {'num_leaves': 19, 'max_depth': 19, 'learning_rate': 0.023725912904804292, 'n_estimators': 194, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.5339044025739946, 'reg_alpha': 0.36278553984213313, 'reg_lambda': 0.2428250048644287}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.845482731342541 LGBM Regressor: 2.8412348494081066 LGBM Regressor: 2.8399604829616862 LGBM Regressor: 2.8422002529358745 LGBM Regressor: 2.843062356024518
[I 2022-11-03 01:43:19,380] Trial 43 finished with value: 2.8410468909731343 and parameters: {'num_leaves': 23, 'max_depth': 18, 'learning_rate': 0.019729074631041066, 'n_estimators': 375, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.5209579953143056, 'reg_alpha': 0.46755711424898927, 'reg_lambda': 0.24550926950594415}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8387765135354863 LGBM Regressor: 2.812162508203192 LGBM Regressor: 2.811106460242211 LGBM Regressor: 2.8153880638190114 LGBM Regressor: 2.816815140304474
[I 2022-11-03 01:44:43,119] Trial 44 finished with value: 2.8137056549495645 and parameters: {'num_leaves': 32, 'max_depth': 17, 'learning_rate': 0.01765934553756315, 'n_estimators': 2311, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.3983915801599461, 'reg_alpha': 0.5501845128457367, 'reg_lambda': 0.3511662088164541}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.813056102178933 LGBM Regressor: 2.84361438544782 LGBM Regressor: 2.840483762169389 LGBM Regressor: 2.8431080297092812 LGBM Regressor: 2.843873563999588
[I 2022-11-03 01:44:51,238] Trial 45 finished with value: 2.842060236010503 and parameters: {'num_leaves': 15, 'max_depth': 15, 'learning_rate': 0.06310910746913821, 'n_estimators': 173, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.7896505582136188, 'reg_alpha': 0.30654644598168795, 'reg_lambda': 0.20588903919610455}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.839221438726438 LGBM Regressor: 2.818905497284366 LGBM Regressor: 2.818213938604473 LGBM Regressor: 2.821567878816149 LGBM Regressor: 2.8227588020764194
[I 2022-11-03 01:45:28,007] Trial 46 finished with value: 2.8203017007063442 and parameters: {'num_leaves': 69, 'max_depth': 11, 'learning_rate': 0.023609153362347864, 'n_estimators': 511, 'class_weight': 'balanced', 'min_child_samples': 27, 'min_child_weight': 0.4873431205286525, 'reg_alpha': 0.2703426661133522, 'reg_lambda': 0.30654146018314316}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.820062386750314 LGBM Regressor: 2.3905167356693595 LGBM Regressor: 2.3879379288405285 LGBM Regressor: 2.391220664536623 LGBM Regressor: 2.3908320290278544
[I 2022-11-03 01:46:05,064] Trial 47 finished with value: 2.3898738621805817 and parameters: {'num_leaves': 149, 'max_depth': 16, 'learning_rate': 0.041606540438518594, 'n_estimators': 2992, 'class_weight': None, 'min_child_samples': 16, 'min_child_weight': 0.6691358770110823, 'reg_alpha': 0.35069009716217353, 'reg_lambda': 0.4556767618526837}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.388861952828546 LGBM Regressor: 2.831876066417511 LGBM Regressor: 2.8314543281981366 LGBM Regressor: 2.834305107444997 LGBM Regressor: 2.83516854941079
[I 2022-11-03 01:46:28,347] Trial 48 finished with value: 2.832995502013004 and parameters: {'num_leaves': 40, 'max_depth': 10, 'learning_rate': 0.021563309162717828, 'n_estimators': 379, 'class_weight': 'balanced', 'min_child_samples': 29, 'min_child_weight': 0.5479002543236301, 'reg_alpha': 0.49927838098768706, 'reg_lambda': 0.2617675232982067}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.832173458593586 LGBM Regressor: 2.8126469848954048 LGBM Regressor: 2.8085245676204385 LGBM Regressor: 2.81535488596453 LGBM Regressor: 2.8151010288120433
[I 2022-11-03 01:47:22,521] Trial 49 finished with value: 2.8128486075539727 and parameters: {'num_leaves': 54, 'max_depth': 7, 'learning_rate': 0.034125621598274626, 'n_estimators': 1015, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.6184559299986573, 'reg_alpha': 0.274026644948178, 'reg_lambda': 0.5131319358422883}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.812615570477447 LGBM Regressor: 2.8187129754449236 LGBM Regressor: 2.818520936762923 LGBM Regressor: 2.8230947739716363 LGBM Regressor: 2.823436662092972
[I 2022-11-03 01:48:06,919] Trial 50 finished with value: 2.820525474382871 and parameters: {'num_leaves': 24, 'max_depth': 19, 'learning_rate': 0.0314237433167935, 'n_estimators': 1209, 'class_weight': 'balanced', 'min_child_samples': 38, 'min_child_weight': 0.32503837900271393, 'reg_alpha': 0.08369726100261954, 'reg_lambda': 0.18756223756646273}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8188620236419 LGBM Regressor: 2.8493896760190913 LGBM Regressor: 2.8484057052730414 LGBM Regressor: 2.8501303321884537 LGBM Regressor: 2.8499381887092756
[I 2022-11-03 01:48:15,762] Trial 51 finished with value: 2.8487773062977193 and parameters: {'num_leaves': 16, 'max_depth': 19, 'learning_rate': 0.026127971661091053, 'n_estimators': 193, 'class_weight': 'balanced', 'min_child_samples': 17, 'min_child_weight': 0.5815223610770796, 'reg_alpha': 0.3775830467275938, 'reg_lambda': 0.13516534441474393}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.846022629298733 LGBM Regressor: 2.856254331257866 LGBM Regressor: 2.8555470863174537 LGBM Regressor: 2.8572636341139206 LGBM Regressor: 2.85769938960226
[I 2022-11-03 01:48:24,156] Trial 52 finished with value: 2.8560510867905724 and parameters: {'num_leaves': 10, 'max_depth': 18, 'learning_rate': 0.02636971368504847, 'n_estimators': 162, 'class_weight': 'balanced', 'min_child_samples': 17, 'min_child_weight': 0.45985992122995584, 'reg_alpha': 0.34922989817236616, 'reg_lambda': 0.05380261473078693}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8534909926613614 LGBM Regressor: 2.8552928003657367 LGBM Regressor: 2.8546879791930833 LGBM Regressor: 2.856592993426693 LGBM Regressor: 2.8565187082612455
[I 2022-11-03 01:48:30,790] Trial 53 finished with value: 2.8551455938677783 and parameters: {'num_leaves': 13, 'max_depth': 18, 'learning_rate': 0.0268105137861479, 'n_estimators': 131, 'class_weight': 'balanced', 'min_child_samples': 17, 'min_child_weight': 0.4483713067193702, 'reg_alpha': 0.44014238482191226, 'reg_lambda': 0.04637390013715856}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8526354880921323 LGBM Regressor: 2.8578393571789853 LGBM Regressor: 2.857143894977712 LGBM Regressor: 2.8589367747610615 LGBM Regressor: 2.8592139623592354
[I 2022-11-03 01:48:37,143] Trial 54 finished with value: 2.857606449411761 and parameters: {'num_leaves': 10, 'max_depth': 18, 'learning_rate': 0.02893556091190792, 'n_estimators': 130, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.26909475580362835, 'reg_alpha': 0.43090089832434175, 'reg_lambda': 0.050114110036126855}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.854898257781811 LGBM Regressor: 2.846092296489802 LGBM Regressor: 2.8436415990117103 LGBM Regressor: 2.8459552305687943 LGBM Regressor: 2.8469152311686177
[I 2022-11-03 01:48:53,635] Trial 55 finished with value: 2.8448633001139902 and parameters: {'num_leaves': 11, 'max_depth': 17, 'learning_rate': 0.028006987394511525, 'n_estimators': 427, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.2999675778465366, 'reg_alpha': 0.44410767147292635, 'reg_lambda': 0.05302853808263133}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8417121433310286 LGBM Regressor: 2.8295751426216618 LGBM Regressor: 2.8280129815773902 LGBM Regressor: 2.831380039199508 LGBM Regressor: 2.832300157102649
[I 2022-11-03 01:49:26,320] Trial 56 finished with value: 2.829902487662446 and parameters: {'num_leaves': 28, 'max_depth': 18, 'learning_rate': 0.021677923633324606, 'n_estimators': 685, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.24215732786975225, 'reg_alpha': 0.6229231340963428, 'reg_lambda': 0.04633735329969136}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8282441178110207 LGBM Regressor: 2.8375526546262697 LGBM Regressor: 2.835991824420505 LGBM Regressor: 2.8387508069524587 LGBM Regressor: 2.839686310532813
[I 2022-11-03 01:49:43,097] Trial 57 finished with value: 2.8375652184035105 and parameters: {'num_leaves': 24, 'max_depth': 16, 'learning_rate': 0.030898066713934844, 'n_estimators': 315, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.38160436538201004, 'reg_alpha': 0.5371258917622517, 'reg_lambda': 0.043353659215267216}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.835844495485506 LGBM Regressor: 2.4074627309502765 LGBM Regressor: 2.4070733748366 LGBM Regressor: 2.407993326863238 LGBM Regressor: 2.4069222594693924
[I 2022-11-03 01:49:51,108] Trial 58 finished with value: 2.4070092724305923 and parameters: {'num_leaves': 11, 'max_depth': 15, 'learning_rate': 0.026165411756236916, 'n_estimators': 155, 'class_weight': None, 'min_child_samples': 41, 'min_child_weight': 0.1765389809523406, 'reg_alpha': 0.4909179395201718, 'reg_lambda': 0.0897239226984686}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.4055946700334556 LGBM Regressor: 2.805590689700495 LGBM Regressor: 2.805187342925828 LGBM Regressor: 2.8061614505712056 LGBM Regressor: 2.8109385232600137
[I 2022-11-03 01:50:44,668] Trial 59 finished with value: 2.8068021370662293 and parameters: {'num_leaves': 110, 'max_depth': 20, 'learning_rate': 0.030054912083424368, 'n_estimators': 569, 'class_weight': 'balanced', 'min_child_samples': 34, 'min_child_weight': 0.46118698982991635, 'reg_alpha': 0.4290326428718373, 'reg_lambda': 0.1722104386181354}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.806132678873606 LGBM Regressor: 2.818314596804185 LGBM Regressor: 2.817830726365721 LGBM Regressor: 2.8213629935550664 LGBM Regressor: 2.823754503505778
[I 2022-11-03 01:51:24,404] Trial 60 finished with value: 2.8200263597807735 and parameters: {'num_leaves': 133, 'max_depth': 18, 'learning_rate': 0.017792988734534956, 'n_estimators': 314, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.138919073873343, 'reg_alpha': 0.7205220555889027, 'reg_lambda': 0.11245116017780629}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.818868978673115 LGBM Regressor: 2.8601892749412636 LGBM Regressor: 2.860019742277781 LGBM Regressor: 2.8613066162153253 LGBM Regressor: 2.8618922903548047
[I 2022-11-03 01:51:27,476] Trial 61 finished with value: 2.8602461310043252 and parameters: {'num_leaves': 10, 'max_depth': 8, 'learning_rate': 0.040775773982587145, 'n_estimators': 74, 'class_weight': 'balanced', 'min_child_samples': 18, 'min_child_weight': 0.4227245433668924, 'reg_alpha': 0.20267568922512913, 'reg_lambda': 0.033611669309083325}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.857822731232452 LGBM Regressor: 2.850310498562906 LGBM Regressor: 2.8494540989143773 LGBM Regressor: 2.851675468251135 LGBM Regressor: 2.8513302599091017
[I 2022-11-03 01:51:34,506] Trial 62 finished with value: 2.849972213887113 and parameters: {'num_leaves': 15, 'max_depth': 17, 'learning_rate': 0.04246708050155947, 'n_estimators': 113, 'class_weight': 'balanced', 'min_child_samples': 18, 'min_child_weight': 0.2693556150323578, 'reg_alpha': 0.19813808275201317, 'reg_lambda': 0.04561739499702925}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.847090743798047 LGBM Regressor: 2.8373738351534707 LGBM Regressor: 2.8360199071535446 LGBM Regressor: 2.8386924595520164 LGBM Regressor: 2.8398439109821316
[I 2022-11-03 01:51:49,679] Trial 63 finished with value: 2.8375497968985584 and parameters: {'num_leaves': 23, 'max_depth': 8, 'learning_rate': 0.033650785828546914, 'n_estimators': 303, 'class_weight': 'balanced', 'min_child_samples': 16, 'min_child_weight': 0.4351771802970335, 'reg_alpha': 0.5608814819833157, 'reg_lambda': 0.07572845159363978}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8358188716516284 LGBM Regressor: 2.8529563649719787 LGBM Regressor: 2.8511692876929016 LGBM Regressor: 2.8528595174937794 LGBM Regressor: 2.8533462392649933
[I 2022-11-03 01:51:56,667] Trial 64 finished with value: 2.8518786526407918 and parameters: {'num_leaves': 10, 'max_depth': 6, 'learning_rate': 0.05143127266983753, 'n_estimators': 125, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.3783014803863672, 'reg_alpha': 0.5155511557281454, 'reg_lambda': 0.02873577148260141}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.849061853780306 LGBM Regressor: 2.852628616194086 LGBM Regressor: 2.852772165924696 LGBM Regressor: 2.854882176819975 LGBM Regressor: 2.85519007848093
[I 2022-11-03 01:52:02,092] Trial 65 finished with value: 2.853184215841014 and parameters: {'num_leaves': 21, 'max_depth': 18, 'learning_rate': 0.039279872165466606, 'n_estimators': 68, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.5007016780492988, 'reg_alpha': 0.32939905092657074, 'reg_lambda': 0.1243944631584245}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.850448041785382 LGBM Regressor: 2.840847217700872 LGBM Regressor: 2.8383670750293044 LGBM Regressor: 2.8416724556493795 LGBM Regressor: 2.841981246304861
[I 2022-11-03 01:52:20,256] Trial 66 finished with value: 2.8401456144133475 and parameters: {'num_leaves': 15, 'max_depth': 17, 'learning_rate': 0.029074194016981855, 'n_estimators': 442, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.3601278762897938, 'reg_alpha': 0.45976246199194054, 'reg_lambda': 0.07839667928940218}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.837860077382321 LGBM Regressor: 2.8489016717918028 LGBM Regressor: 2.846424788130199 LGBM Regressor: 2.849898720888962 LGBM Regressor: 2.8504983980064544
[I 2022-11-03 01:52:31,740] Trial 67 finished with value: 2.8483840298762524 and parameters: {'num_leaves': 35, 'max_depth': 4, 'learning_rate': 0.03575796034806108, 'n_estimators': 232, 'class_weight': 'balanced', 'min_child_samples': 32, 'min_child_weight': 0.2988017945570478, 'reg_alpha': 0.39770370602653715, 'reg_lambda': 0.0031788431579020636}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.846196570563843 LGBM Regressor: 2.8153866293515146 LGBM Regressor: 2.8123405100304923 LGBM Regressor: 2.8166782449113557 LGBM Regressor: 2.818619621461083
[I 2022-11-03 01:53:34,028] Trial 68 finished with value: 2.8155787186420875 and parameters: {'num_leaves': 28, 'max_depth': 9, 'learning_rate': 0.025921991742558124, 'n_estimators': 1738, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.41705565739229866, 'reg_alpha': 0.0035655573148064557, 'reg_lambda': 0.19133571678459663}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.814868587455994 LGBM Regressor: 2.4030091064873806 LGBM Regressor: 2.4020366163122504 LGBM Regressor: 2.403240225941055 LGBM Regressor: 2.402338288630869
[I 2022-11-03 01:53:46,383] Trial 69 finished with value: 2.4022684503420932 and parameters: {'num_leaves': 14, 'max_depth': 15, 'learning_rate': 0.022542284645928543, 'n_estimators': 290, 'class_weight': None, 'min_child_samples': 28, 'min_child_weight': 0.4591898637240304, 'reg_alpha': 0.12895635061788296, 'reg_lambda': 0.5958235995184216}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.400718014338912 LGBM Regressor: 2.8561758511999553 LGBM Regressor: 2.8560185274223864 LGBM Regressor: 2.8577669138785606 LGBM Regressor: 2.8583854410225342
[I 2022-11-03 01:53:50,121] Trial 70 finished with value: 2.8565012862727857 and parameters: {'num_leaves': 19, 'max_depth': 20, 'learning_rate': 0.04435882690880687, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.682480669331078, 'reg_alpha': 0.2918455822448902, 'reg_lambda': 0.157379920299602}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8541596978404917 LGBM Regressor: 2.8453858965865404 LGBM Regressor: 2.8437921406148448 LGBM Regressor: 2.8459134992119983 LGBM Regressor: 2.8461943822974827
[I 2022-11-03 01:53:58,539] Trial 71 finished with value: 2.8446618492314757 and parameters: {'num_leaves': 20, 'max_depth': 20, 'learning_rate': 0.043491920350822784, 'n_estimators': 137, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.6650318665165782, 'reg_alpha': 0.2914372691814448, 'reg_lambda': 0.10311150125572821}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8420233274465114 LGBM Regressor: 2.8498091693722185 LGBM Regressor: 2.848039687073326 LGBM Regressor: 2.8502684727319996 LGBM Regressor: 2.851390294676076
[I 2022-11-03 01:54:03,198] Trial 72 finished with value: 2.8492000898296648 and parameters: {'num_leaves': 10, 'max_depth': 20, 'learning_rate': 0.059930544478145456, 'n_estimators': 144, 'class_weight': 'balanced', 'min_child_samples': 17, 'min_child_weight': 0.7900415285908879, 'reg_alpha': 0.24381097835500232, 'reg_lambda': 0.16651912496732876}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8464928252947046 LGBM Regressor: 2.85027190044448 LGBM Regressor: 2.8495507636661177 LGBM Regressor: 2.8520348769552353 LGBM Regressor: 2.8527104702720316
[I 2022-11-03 01:54:07,066] Trial 73 finished with value: 2.8504643562049248 and parameters: {'num_leaves': 27, 'max_depth': 18, 'learning_rate': 0.04640034204543946, 'n_estimators': 57, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.6174506776689306, 'reg_alpha': 0.21333869933555807, 'reg_lambda': 0.14849599862550353}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8477537696867614 LGBM Regressor: 2.8396359740856414 LGBM Regressor: 2.8377096238419126 LGBM Regressor: 2.840346937840321 LGBM Regressor: 2.8409813999711546
[I 2022-11-03 01:54:21,603] Trial 74 finished with value: 2.839241588648085 and parameters: {'num_leaves': 15, 'max_depth': 19, 'learning_rate': 0.03697575877216451, 'n_estimators': 380, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.7332558081407469, 'reg_alpha': 0.33586367928655536, 'reg_lambda': 0.05858680279707464}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.837534007501395 LGBM Regressor: 2.8399654540811725 LGBM Regressor: 2.8385115317401457 LGBM Regressor: 2.841187624715458 LGBM Regressor: 2.842556162824572
[I 2022-11-03 01:54:36,286] Trial 75 finished with value: 2.840021697275625 and parameters: {'num_leaves': 21, 'max_depth': 20, 'learning_rate': 0.03310065057197791, 'n_estimators': 275, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.5608260183228577, 'reg_alpha': 0.42878098684953886, 'reg_lambda': 0.027599094278502878}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.837887713016779 LGBM Regressor: 2.8480802205054205 LGBM Regressor: 2.846774312988619 LGBM Regressor: 2.8480950111165226 LGBM Regressor: 2.8484274823794
[I 2022-11-03 01:54:44,869] Trial 76 finished with value: 2.847139397529131 and parameters: {'num_leaves': 14, 'max_depth': 16, 'learning_rate': 0.04034205531495246, 'n_estimators': 171, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.6874596532372258, 'reg_alpha': 0.16858321804294185, 'reg_lambda': 0.21573588377719133}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8443199606556924 LGBM Regressor: 2.804980504379928 LGBM Regressor: 2.80074202098789 LGBM Regressor: 2.8069154629351485 LGBM Regressor: 2.8090204588497265
[I 2022-11-03 01:55:46,152] Trial 77 finished with value: 2.8058492713773857 and parameters: {'num_leaves': 33, 'max_depth': 7, 'learning_rate': 0.05127468566488721, 'n_estimators': 1571, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.6408167202133771, 'reg_alpha': 0.29403724897713956, 'reg_lambda': 0.10529219592156455}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8075879097342358 LGBM Regressor: 2.834919353763038 LGBM Regressor: 2.8328362662573583 LGBM Regressor: 2.836737294426642 LGBM Regressor: 2.837375937308672
[I 2022-11-03 01:56:09,579] Trial 78 finished with value: 2.8351000685883365 and parameters: {'num_leaves': 19, 'max_depth': 19, 'learning_rate': 0.027901240237858116, 'n_estimators': 552, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.5185619567600741, 'reg_alpha': 0.4793039812110669, 'reg_lambda': 0.7309252993089917}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.833631491185973 LGBM Regressor: 2.82590437310744 LGBM Regressor: 2.8250416489241164 LGBM Regressor: 2.8283909375409566 LGBM Regressor: 2.830082030692232
[I 2022-11-03 01:56:37,937] Trial 79 finished with value: 2.827221203878749 and parameters: {'num_leaves': 48, 'max_depth': 18, 'learning_rate': 0.024863428999926204, 'n_estimators': 425, 'class_weight': 'balanced', 'min_child_samples': 17, 'min_child_weight': 0.6032724959447437, 'reg_alpha': 0.6108485893158696, 'reg_lambda': 0.27788282739432757}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.826687029129001 LGBM Regressor: 2.824605052380201 LGBM Regressor: 2.8219004231513725 LGBM Regressor: 2.826017192645163 LGBM Regressor: 2.827509092234694
[I 2022-11-03 01:57:42,545] Trial 80 finished with value: 2.8246045513791684 and parameters: {'num_leaves': 10, 'max_depth': 12, 'learning_rate': 0.03177987559496529, 'n_estimators': 2453, 'class_weight': 'balanced', 'min_child_samples': 20, 'min_child_weight': 0.7750365208296774, 'reg_alpha': 0.35301495841483205, 'reg_lambda': 0.327223049311759}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8229909964844118 LGBM Regressor: 2.8582319826288094 LGBM Regressor: 2.857980596909841 LGBM Regressor: 2.8597574834725332 LGBM Regressor: 2.860533011342275
[I 2022-11-03 01:57:45,555] Trial 81 finished with value: 2.858468459958551 and parameters: {'num_leaves': 21, 'max_depth': 18, 'learning_rate': 0.03825192230850443, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.48882632829584494, 'reg_alpha': 0.32944184169309865, 'reg_lambda': 0.12940136331296823}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.855839225439297 LGBM Regressor: 2.854656337548589 LGBM Regressor: 2.854240024966463 LGBM Regressor: 2.856109967849053 LGBM Regressor: 2.8566222740976657
[I 2022-11-03 01:57:48,991] Trial 82 finished with value: 2.8547142372900973 and parameters: {'num_leaves': 22, 'max_depth': 17, 'learning_rate': 0.0450872297370499, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.4836661411797942, 'reg_alpha': 0.40348554947001236, 'reg_lambda': 0.12828186413450754}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8519425819887156 LGBM Regressor: 2.8373155858142534 LGBM Regressor: 2.836684990363152 LGBM Regressor: 2.839206825255182 LGBM Regressor: 2.839860734830385
[I 2022-11-03 01:58:02,313] Trial 83 finished with value: 2.8378481304114516 and parameters: {'num_leaves': 26, 'max_depth': 8, 'learning_rate': 0.0365839195833871, 'n_estimators': 242, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.4392339402463336, 'reg_alpha': 0.31046570206452145, 'reg_lambda': 0.1547199377292662}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8361725157942845 LGBM Regressor: 2.850436375391021 LGBM Regressor: 2.8497141967121693 LGBM Regressor: 2.8516189196274744 LGBM Regressor: 2.8515964040949884
[I 2022-11-03 01:58:10,211] Trial 84 finished with value: 2.850258226478895 and parameters: {'num_leaves': 18, 'max_depth': 18, 'learning_rate': 0.029029026823923172, 'n_estimators': 133, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.5576105511147459, 'reg_alpha': 0.4428360828984224, 'reg_lambda': 0.0761931162422608}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8479252365688206 LGBM Regressor: 2.400396605667374 LGBM Regressor: 2.399747673195382 LGBM Regressor: 2.4016857754705505 LGBM Regressor: 2.4004906710612217
[I 2022-11-03 01:58:19,792] Trial 85 finished with value: 2.4001784591346373 and parameters: {'num_leaves': 14, 'max_depth': 19, 'learning_rate': 0.04791027400096669, 'n_estimators': 209, 'class_weight': None, 'min_child_samples': 18, 'min_child_weight': 0.7136797673715756, 'reg_alpha': 0.977533994557545, 'reg_lambda': 0.023354029428513494}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.3985715702786563 LGBM Regressor: 2.8501951642699725 LGBM Regressor: 2.8484364788158767 LGBM Regressor: 2.8507382711318203 LGBM Regressor: 2.8505922434693236
[I 2022-11-03 01:58:33,429] Trial 86 finished with value: 2.8492727765019223 and parameters: {'num_leaves': 13, 'max_depth': 20, 'learning_rate': 0.018715406082415845, 'n_estimators': 328, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.5082874095595262, 'reg_alpha': 0.2644497850484039, 'reg_lambda': 0.22763115006277793}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.846401724822618 LGBM Regressor: 2.84407594721228 LGBM Regressor: 2.8418044426854863 LGBM Regressor: 2.8443138929508978 LGBM Regressor: 2.844810699282104
[I 2022-11-03 01:58:37,890] Trial 87 finished with value: 2.843041323278382 and parameters: {'num_leaves': 18, 'max_depth': 18, 'learning_rate': 0.0712012638728059, 'n_estimators': 108, 'class_weight': 'balanced', 'min_child_samples': 17, 'min_child_weight': 0.4736851116273923, 'reg_alpha': 0.5210217473382392, 'reg_lambda': 0.18108959801800287}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8402016342611414 LGBM Regressor: 2.8388085945468506 LGBM Regressor: 2.837935724011598 LGBM Regressor: 2.83990952161062 LGBM Regressor: 2.8408389889511367
[I 2022-11-03 01:58:49,616] Trial 88 finished with value: 2.8388792470780784 and parameters: {'num_leaves': 30, 'max_depth': 17, 'learning_rate': 0.032046781627047466, 'n_estimators': 205, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.8358973938472867, 'reg_alpha': 0.36804897477881454, 'reg_lambda': 0.09538466763877584}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8369034062701886 LGBM Regressor: 2.8351375171023254 LGBM Regressor: 2.8341272003747697 LGBM Regressor: 2.8370138466127823 LGBM Regressor: 2.838219062564094
[I 2022-11-03 01:59:13,082] Trial 89 finished with value: 2.8357593108837063 and parameters: {'num_leaves': 25, 'max_depth': 19, 'learning_rate': 0.022583087034688403, 'n_estimators': 484, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.6707956138974096, 'reg_alpha': 0.24022920082951205, 'reg_lambda': 0.7963370975124651}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8342989277645594 LGBM Regressor: 2.8414229709746284 LGBM Regressor: 2.841821611490085 LGBM Regressor: 2.844183333186034 LGBM Regressor: 2.8450981766017187
[I 2022-11-03 01:59:21,736] Trial 90 finished with value: 2.8424710360703793 and parameters: {'num_leaves': 84, 'max_depth': 16, 'learning_rate': 0.04031189525210815, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.4120757428589207, 'reg_alpha': 0.564645086335675, 'reg_lambda': 0.13196981716682232}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8398290880994304 LGBM Regressor: 2.854459790887055 LGBM Regressor: 2.854532054149049 LGBM Regressor: 2.856186992909719 LGBM Regressor: 2.8573210402708513
[I 2022-11-03 01:59:25,133] Trial 91 finished with value: 2.8549667685934152 and parameters: {'num_leaves': 21, 'max_depth': 17, 'learning_rate': 0.044075603418280075, 'n_estimators': 54, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.49044019588085686, 'reg_alpha': 0.39532179722898564, 'reg_lambda': 0.12352874576356766}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.852333964750403 LGBM Regressor: 2.847651822051038 LGBM Regressor: 2.846274688358414 LGBM Regressor: 2.848089081235475 LGBM Regressor: 2.847806864718053
[I 2022-11-03 01:59:33,662] Trial 92 finished with value: 2.8467050546058106 and parameters: {'num_leaves': 17, 'max_depth': 9, 'learning_rate': 0.034800813514494745, 'n_estimators': 167, 'class_weight': 'balanced', 'min_child_samples': 20, 'min_child_weight': 0.540414714492515, 'reg_alpha': 0.3847193609795004, 'reg_lambda': 0.03454195243715595}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8437028166660743 LGBM Regressor: 2.848062135783404 LGBM Regressor: 2.8461799514193977 LGBM Regressor: 2.8483027191147596 LGBM Regressor: 2.849166919801036
[I 2022-11-03 01:59:45,285] Trial 93 finished with value: 2.8472832732341375 and parameters: {'num_leaves': 10, 'max_depth': 19, 'learning_rate': 0.038208859981514846, 'n_estimators': 269, 'class_weight': 'balanced', 'min_child_samples': 16, 'min_child_weight': 0.44216953248001756, 'reg_alpha': 0.3434506849379302, 'reg_lambda': 0.06474273620217587}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.844704640052091 LGBM Regressor: 2.851493437812476 LGBM Regressor: 2.8509737462957916 LGBM Regressor: 2.8531953804903467 LGBM Regressor: 2.8538570511810586
[I 2022-11-03 01:59:53,309] Trial 94 finished with value: 2.8517654652130617 and parameters: {'num_leaves': 21, 'max_depth': 18, 'learning_rate': 0.0270758156719322, 'n_estimators': 110, 'class_weight': 'balanced', 'min_child_samples': 18, 'min_child_weight': 0.08103888991435296, 'reg_alpha': 0.4576988911519121, 'reg_lambda': 0.1521604509920639}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8493077102856343 LGBM Regressor: 2.8227537788403754 LGBM Regressor: 2.822219419263018 LGBM Regressor: 2.824366647136613 LGBM Regressor: 2.8263173714074106
[I 2022-11-03 02:00:16,427] Trial 95 finished with value: 2.8237004274246202 and parameters: {'num_leaves': 40, 'max_depth': 11, 'learning_rate': 0.05000287668541265, 'n_estimators': 356, 'class_weight': 'balanced', 'min_child_samples': 50, 'min_child_weight': 0.5691073531931516, 'reg_alpha': 0.40868588670847683, 'reg_lambda': 0.10503727887617223}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8228449204756823 LGBM Regressor: 2.8461919373998104 LGBM Regressor: 2.8438072368375913 LGBM Regressor: 2.8465734262595803 LGBM Regressor: 2.846857083060322
[I 2022-11-03 02:00:23,466] Trial 96 finished with value: 2.8451293298426252 and parameters: {'num_leaves': 13, 'max_depth': 20, 'learning_rate': 0.05464892218256502, 'n_estimators': 175, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.6018734930308312, 'reg_alpha': 0.2896031957970428, 'reg_lambda': 0.393644545261525}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8422169656558225 LGBM Regressor: 2.8441230341864716 LGBM Regressor: 2.8444690707331155 LGBM Regressor: 2.846332210233163 LGBM Regressor: 2.84721271156168
[I 2022-11-03 02:00:29,202] Trial 97 finished with value: 2.8447685146679413 and parameters: {'num_leaves': 59, 'max_depth': 17, 'learning_rate': 0.044199160259886634, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 36, 'min_child_weight': 0.35594806554161806, 'reg_alpha': 0.31941833506021555, 'reg_lambda': 0.059214071410358796}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.841705546625275 LGBM Regressor: 2.4018334412464215 LGBM Regressor: 2.401199604175172 LGBM Regressor: 2.402751817972341 LGBM Regressor: 2.4014302664908946
[I 2022-11-03 02:00:41,453] Trial 98 finished with value: 2.401291340326466 and parameters: {'num_leaves': 17, 'max_depth': 14, 'learning_rate': 0.02532670712071193, 'n_estimators': 241, 'class_weight': None, 'min_child_samples': 21, 'min_child_weight': 0.5298375256178087, 'reg_alpha': 0.4885695020474403, 'reg_lambda': 0.19865935601991708}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.3992415717475017 LGBM Regressor: 2.838473569366141 LGBM Regressor: 2.837433557096359 LGBM Regressor: 2.840277388320249 LGBM Regressor: 2.841234937280971
[I 2022-11-03 02:01:03,574] Trial 99 finished with value: 2.8387598131991743 and parameters: {'num_leaves': 28, 'max_depth': 19, 'learning_rate': 0.020155933937524215, 'n_estimators': 361, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.49883542632532485, 'reg_alpha': 0.42298703015921435, 'reg_lambda': 0.01445925382776208}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.836379613932151 LGBM Regressor: 2.810119833043255 LGBM Regressor: 2.806516478228205 LGBM Regressor: 2.812891996379956 LGBM Regressor: 2.8140525462821944
[I 2022-11-03 02:02:06,459] Trial 100 finished with value: 2.810881458956968 and parameters: {'num_leaves': 21, 'max_depth': 18, 'learning_rate': 0.04175516512748039, 'n_estimators': 2104, 'class_weight': 'balanced', 'min_child_samples': 31, 'min_child_weight': 0.3991197808613021, 'reg_alpha': 0.1944226594388619, 'reg_lambda': 0.2593409722700204}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.810826440851229 LGBM Regressor: 2.8511332864454757 LGBM Regressor: 2.8505268145395095 LGBM Regressor: 2.8526803317494034 LGBM Regressor: 2.853295844859093
[I 2022-11-03 02:02:13,814] Trial 101 finished with value: 2.8512932673539773 and parameters: {'num_leaves': 23, 'max_depth': 17, 'learning_rate': 0.02937978975335236, 'n_estimators': 98, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.47566581731892904, 'reg_alpha': 0.39748505241861243, 'reg_lambda': 0.11913077509500265}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.848830059176404 LGBM Regressor: 2.8619907482542253 LGBM Regressor: 2.862199693973273 LGBM Regressor: 2.863133999466224 LGBM Regressor: 2.863909210002691
[I 2022-11-03 02:02:17,877] Trial 102 finished with value: 2.8623172622455373 and parameters: {'num_leaves': 13, 'max_depth': 17, 'learning_rate': 0.023020156944832195, 'n_estimators': 91, 'class_weight': 'balanced', 'min_child_samples': 19, 'min_child_weight': 0.6548315991422846, 'reg_alpha': 0.3634237689832488, 'reg_lambda': 0.13037135527850519}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8603526595312743 LGBM Regressor: 2.8571632442001342 LGBM Regressor: 2.8565466467386904 LGBM Regressor: 2.8584119205618284 LGBM Regressor: 2.8583320115220743
[I 2022-11-03 02:02:27,342] Trial 103 finished with value: 2.857013448470383 and parameters: {'num_leaves': 12, 'max_depth': 18, 'learning_rate': 0.020604055275543084, 'n_estimators': 159, 'class_weight': 'balanced', 'min_child_samples': 16, 'min_child_weight': 0.6363948194066434, 'reg_alpha': 0.36036714537436326, 'reg_lambda': 0.08391102314949692}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.854613419329186 LGBM Regressor: 2.856715280230154 LGBM Regressor: 2.8563885297408347 LGBM Regressor: 2.858083755015886 LGBM Regressor: 2.858134460888528
[I 2022-11-03 02:02:36,495] Trial 104 finished with value: 2.85673182668899 and parameters: {'num_leaves': 13, 'max_depth': 19, 'learning_rate': 0.01663317316493558, 'n_estimators': 188, 'class_weight': 'balanced', 'min_child_samples': 16, 'min_child_weight': 0.656301645563067, 'reg_alpha': 0.3545845072124163, 'reg_lambda': 0.17651345752881906}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8543371075695463 LGBM Regressor: 2.854363193188373 LGBM Regressor: 2.853534890911034 LGBM Regressor: 2.855621426326776 LGBM Regressor: 2.855329755027406
[I 2022-11-03 02:02:48,561] Trial 105 finished with value: 2.8541294130648724 and parameters: {'num_leaves': 12, 'max_depth': 19, 'learning_rate': 0.015615341507369769, 'n_estimators': 267, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.6469240050723116, 'reg_alpha': 0.36581553230834263, 'reg_lambda': 0.17013856268487115}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.851797799870775 LGBM Regressor: 2.854082365433639 LGBM Regressor: 2.8531265081124415 LGBM Regressor: 2.8554236546292566 LGBM Regressor: 2.8554378921015733
[I 2022-11-03 02:02:58,215] Trial 106 finished with value: 2.8538418156368586 and parameters: {'num_leaves': 16, 'max_depth': 6, 'learning_rate': 0.01872174569379985, 'n_estimators': 182, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.7615346457799529, 'reg_alpha': 0.34380972468686677, 'reg_lambda': 0.22176453125464404}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.851138657907382 LGBM Regressor: 2.8495852060812634 LGBM Regressor: 2.846748891435776 LGBM Regressor: 2.849533732034376 LGBM Regressor: 2.8504315772275253
[I 2022-11-03 02:03:12,635] Trial 107 finished with value: 2.848418216837576 and parameters: {'num_leaves': 10, 'max_depth': 18, 'learning_rate': 0.02288351368700169, 'n_estimators': 404, 'class_weight': 'balanced', 'min_child_samples': 16, 'min_child_weight': 0.6819132833467711, 'reg_alpha': 0.3155092124700286, 'reg_lambda': 0.08664752654241135}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8457916774089393 LGBM Regressor: 2.8479434872000633 LGBM Regressor: 2.8458449013827622 LGBM Regressor: 2.848199965367909 LGBM Regressor: 2.84814571144534
[I 2022-11-03 02:03:28,003] Trial 108 finished with value: 2.8468417546841307 and parameters: {'num_leaves': 16, 'max_depth': 10, 'learning_rate': 0.02058185660422176, 'n_estimators': 303, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.7041089695031331, 'reg_alpha': 0.8592661405809553, 'reg_lambda': 0.14402957806984468}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.844074708024578 LGBM Regressor: 2.864777064979255 LGBM Regressor: 2.8646123150366645 LGBM Regressor: 2.865531239444972 LGBM Regressor: 2.866035995903714
[I 2022-11-03 02:03:34,828] Trial 109 finished with value: 2.86479211588677 and parameters: {'num_leaves': 13, 'max_depth': 8, 'learning_rate': 0.015526761940673975, 'n_estimators': 115, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.734241193245881, 'reg_alpha': 0.28221606425353446, 'reg_lambda': 0.18396406208493138}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8630039640692453 LGBM Regressor: 2.858326580846144 LGBM Regressor: 2.8582534817204737 LGBM Regressor: 2.8595773600632928 LGBM Regressor: 2.8599129514152195
[I 2022-11-03 02:03:44,949] Trial 110 finished with value: 2.8584648625197286 and parameters: {'num_leaves': 13, 'max_depth': 8, 'learning_rate': 0.012915926292919743, 'n_estimators': 213, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.7337921555260961, 'reg_alpha': 0.2508305604598209, 'reg_lambda': 0.1999483866232537}. Best is trial 16 with value: 2.869744681176064.
LGBM Regressor: 2.8562539385535133 LGBM Regressor: 2.8707283593501094 LGBM Regressor: 2.8704798931756907 LGBM Regressor: 2.8716037041036095 LGBM Regressor: 2.872297939012875
[I 2022-11-03 02:03:49,516] Trial 111 finished with value: 2.8709591563037997 and parameters: {'num_leaves': 13, 'max_depth': 8, 'learning_rate': 0.011857818242244461, 'n_estimators': 101, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.7315047261325159, 'reg_alpha': 0.25818402679808516, 'reg_lambda': 0.24230919595311912}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.869685885876713 LGBM Regressor: 2.8689618709293088 LGBM Regressor: 2.868628470392076 LGBM Regressor: 2.8696978408879104 LGBM Regressor: 2.8703245183629167
[I 2022-11-03 02:03:56,069] Trial 112 finished with value: 2.8690996511953126 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.011511508191799988, 'n_estimators': 119, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.7329072825387521, 'reg_alpha': 0.22423666315874305, 'reg_lambda': 0.2524323389002016}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.867885555404351 LGBM Regressor: 2.86534148567677 LGBM Regressor: 2.8650596103345047 LGBM Regressor: 2.8660999036162327 LGBM Regressor: 2.8666730088532475
[I 2022-11-03 02:04:04,183] Trial 113 finished with value: 2.8653871556905095 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.012447787174376291, 'n_estimators': 139, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.73070333707061, 'reg_alpha': 0.21494830262348044, 'reg_lambda': 0.31145326684889707}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.863761769971793 LGBM Regressor: 2.8685076385862622 LGBM Regressor: 2.868329073582734 LGBM Regressor: 2.8692986970801067 LGBM Regressor: 2.8705477349169857
[I 2022-11-03 02:04:09,927] Trial 114 finished with value: 2.8688105420090215 and parameters: {'num_leaves': 16, 'max_depth': 7, 'learning_rate': 0.011659456581945187, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.7484961325945815, 'reg_alpha': 0.2159475856819598, 'reg_lambda': 0.35158096652028265}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8673695658790206 LGBM Regressor: 2.852305299585381 LGBM Regressor: 2.8518206304610865 LGBM Regressor: 2.853927357949328 LGBM Regressor: 2.854635926264218
[I 2022-11-03 02:04:25,208] Trial 115 finished with value: 2.852587506376056 and parameters: {'num_leaves': 25, 'max_depth': 7, 'learning_rate': 0.011017696387830097, 'n_estimators': 238, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.7341899026416806, 'reg_alpha': 0.22530632285306032, 'reg_lambda': 0.3025179083149111}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.850248317620266 LGBM Regressor: 2.8677878121619402 LGBM Regressor: 2.867506476895544 LGBM Regressor: 2.868229963403451 LGBM Regressor: 2.8694574357856664
[I 2022-11-03 02:04:30,026] Trial 116 finished with value: 2.8679022421845426 and parameters: {'num_leaves': 16, 'max_depth': 8, 'learning_rate': 0.01246956548786301, 'n_estimators': 102, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.7495143412269606, 'reg_alpha': 0.18442096205308192, 'reg_lambda': 0.27268276564384886}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8665295226761094 LGBM Regressor: 2.8567151628809455 LGBM Regressor: 2.8579921890167297 LGBM Regressor: 2.860233571933083 LGBM Regressor: 2.8609599750687043
[I 2022-11-03 02:04:43,840] Trial 117 finished with value: 2.8585341336959234 and parameters: {'num_leaves': 100, 'max_depth': 7, 'learning_rate': 0.011951930016330214, 'n_estimators': 109, 'class_weight': 'balanced', 'min_child_samples': 3, 'min_child_weight': 0.7968844685392958, 'reg_alpha': 0.2129624058949425, 'reg_lambda': 0.3713120741421863}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.856769769580153 LGBM Regressor: 2.855116479250419 LGBM Regressor: 2.855839072419596 LGBM Regressor: 2.8588816559426777 LGBM Regressor: 2.859425831658937
[I 2022-11-03 02:04:58,328] Trial 118 finished with value: 2.85686146318498 and parameters: {'num_leaves': 107, 'max_depth': 7, 'learning_rate': 0.0121878183611813, 'n_estimators': 116, 'class_weight': 'balanced', 'min_child_samples': 3, 'min_child_weight': 0.8796084080507207, 'reg_alpha': 0.1410598729395224, 'reg_lambda': 0.3579209313741333}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8550442766532704 LGBM Regressor: 2.407329534595654 LGBM Regressor: 2.4070083180755577 LGBM Regressor: 2.4082712200528276 LGBM Regressor: 2.4072165502015612
[I 2022-11-03 02:05:15,320] Trial 119 finished with value: 2.407189215052817 and parameters: {'num_leaves': 121, 'max_depth': 5, 'learning_rate': 0.010003368393047078, 'n_estimators': 285, 'class_weight': None, 'min_child_samples': 6, 'min_child_weight': 0.8130395159244422, 'reg_alpha': 0.17492354730843024, 'reg_lambda': 0.42392614666914247}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.406120452338485 LGBM Regressor: 2.862009037376404 LGBM Regressor: 2.8616678947008842 LGBM Regressor: 2.863290902076795 LGBM Regressor: 2.864905772423999
[I 2022-11-03 02:05:25,418] Trial 120 finished with value: 2.862525438754544 and parameters: {'num_leaves': 66, 'max_depth': 6, 'learning_rate': 0.010978250197359775, 'n_estimators': 118, 'class_weight': 'balanced', 'min_child_samples': 5, 'min_child_weight': 0.7617576062876386, 'reg_alpha': 0.10299114659707939, 'reg_lambda': 0.27840122705499354}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.860753587194637 LGBM Regressor: 2.8556241039922083 LGBM Regressor: 2.856384112326258 LGBM Regressor: 2.8579251860844175 LGBM Regressor: 2.858460327023182
[I 2022-11-03 02:05:40,441] Trial 121 finished with value: 2.856577248370973 and parameters: {'num_leaves': 97, 'max_depth': 8, 'learning_rate': 0.010693152890694765, 'n_estimators': 116, 'class_weight': 'balanced', 'min_child_samples': 5, 'min_child_weight': 0.7568007649350343, 'reg_alpha': 0.18891160734724743, 'reg_lambda': 0.314907773121752}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.854492512428798 LGBM Regressor: 2.822114884472919 LGBM Regressor: 2.8214600133404826 LGBM Regressor: 2.826039092721628 LGBM Regressor: 2.827269399669689
[I 2022-11-03 02:06:49,482] Trial 122 finished with value: 2.8241709844328007 and parameters: {'num_leaves': 66, 'max_depth': 6, 'learning_rate': 0.014148003176964132, 'n_estimators': 1279, 'class_weight': 'balanced', 'min_child_samples': 4, 'min_child_weight': 0.8016741688273881, 'reg_alpha': 0.08582434083392337, 'reg_lambda': 0.2786705294038878}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8239715319592857 LGBM Regressor: 2.859354343450977 LGBM Regressor: 2.860680404651967 LGBM Regressor: 2.8625236328869197 LGBM Regressor: 2.8630920072815864
[I 2022-11-03 02:07:00,748] Trial 123 finished with value: 2.8609666273051317 and parameters: {'num_leaves': 82, 'max_depth': 7, 'learning_rate': 0.011663142539695814, 'n_estimators': 99, 'class_weight': 'balanced', 'min_child_samples': 2, 'min_child_weight': 0.7818253493931853, 'reg_alpha': 0.055233197112362784, 'reg_lambda': 0.3716883353161594}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8591827482542085 LGBM Regressor: 2.8514703627077798 LGBM Regressor: 2.8493026253777822 LGBM Regressor: 2.8517497568296464 LGBM Regressor: 2.8528124232092624
[I 2022-11-03 02:07:21,388] Trial 124 finished with value: 2.8505601956126867 and parameters: {'num_leaves': 78, 'max_depth': 5, 'learning_rate': 0.011338275156349215, 'n_estimators': 334, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.713507578857195, 'reg_alpha': 0.10900146666167822, 'reg_lambda': 0.25491818959493384}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8474658099389636 LGBM Regressor: 2.842713538365508 LGBM Regressor: 2.8419261970895753 LGBM Regressor: 2.84522542112941 LGBM Regressor: 2.845980384715691
[I 2022-11-03 02:07:46,409] Trial 125 finished with value: 2.8433130677931997 and parameters: {'num_leaves': 87, 'max_depth': 9, 'learning_rate': 0.01056863519554379, 'n_estimators': 212, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.7712275505565812, 'reg_alpha': 0.06285209699350852, 'reg_lambda': 0.3409787475482709}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.840719797665812 LGBM Regressor: 2.853126960308161 LGBM Regressor: 2.8537567231541745 LGBM Regressor: 2.8553588346549827 LGBM Regressor: 2.8562724331589857
[I 2022-11-03 02:08:00,141] Trial 126 finished with value: 2.8540925040806266 and parameters: {'num_leaves': 82, 'max_depth': 8, 'learning_rate': 0.013005847333590398, 'n_estimators': 111, 'class_weight': 'balanced', 'min_child_samples': 5, 'min_child_weight': 0.8510672562553953, 'reg_alpha': 0.10753780534780659, 'reg_lambda': 0.2739648866820612}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.851947569126828 LGBM Regressor: 2.8466197070283457 LGBM Regressor: 2.8451768457494047 LGBM Regressor: 2.8476909473088576 LGBM Regressor: 2.8487935549638443
[I 2022-11-03 02:08:20,383] Trial 127 finished with value: 2.846534829389635 and parameters: {'num_leaves': 73, 'max_depth': 6, 'learning_rate': 0.013921857323555421, 'n_estimators': 241, 'class_weight': 'balanced', 'min_child_samples': 2, 'min_child_weight': 0.7516322640664209, 'reg_alpha': 0.1558155476865314, 'reg_lambda': 0.2383445020406469}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8443930918977207 LGBM Regressor: 2.8627820697171957 LGBM Regressor: 2.8622581652793078 LGBM Regressor: 2.863547370704879 LGBM Regressor: 2.8642462488727376
[I 2022-11-03 02:08:29,255] Trial 128 finished with value: 2.862766536847064 and parameters: {'num_leaves': 16, 'max_depth': 7, 'learning_rate': 0.01240034929203862, 'n_estimators': 144, 'class_weight': 'balanced', 'min_child_samples': 4, 'min_child_weight': 0.8257490473745042, 'reg_alpha': 0.23313042597509864, 'reg_lambda': 0.47776691397531845}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8609988296611983 LGBM Regressor: 2.8495954466741615 LGBM Regressor: 2.849891650127712 LGBM Regressor: 2.8529396322418097 LGBM Regressor: 2.8532325130421756
[I 2022-11-03 02:08:46,930] Trial 129 finished with value: 2.8509955802098075 and parameters: {'num_leaves': 92, 'max_depth': 7, 'learning_rate': 0.012271804406201686, 'n_estimators': 157, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.822795229219837, 'reg_alpha': 0.04347282975626235, 'reg_lambda': 0.4837483053281886}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8493186589631776 LGBM Regressor: 2.8157538900892196 LGBM Regressor: 2.8129102215334276 LGBM Regressor: 2.819562499320312 LGBM Regressor: 2.819237042741109
[I 2022-11-03 02:11:01,044] Trial 130 finished with value: 2.816857594868296 and parameters: {'num_leaves': 142, 'max_depth': 6, 'learning_rate': 0.01157385911323323, 'n_estimators': 2671, 'class_weight': 'balanced', 'min_child_samples': 2, 'min_child_weight': 0.7282472879653931, 'reg_alpha': 0.22963971215084739, 'reg_lambda': 0.44025202517020834}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8168243206574104 LGBM Regressor: 2.868430791149306 LGBM Regressor: 2.8681977631676334 LGBM Regressor: 2.8688408839936472 LGBM Regressor: 2.870179804158669
[I 2022-11-03 02:11:05,555] Trial 131 finished with value: 2.868531556832724 and parameters: {'num_leaves': 17, 'max_depth': 8, 'learning_rate': 0.012599070498177089, 'n_estimators': 94, 'class_weight': 'balanced', 'min_child_samples': 4, 'min_child_weight': 0.7825663291646473, 'reg_alpha': 0.2712326603552917, 'reg_lambda': 0.3257414479098727}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8670085416943634 LGBM Regressor: 2.8574931250486784 LGBM Regressor: 2.8571184783775374 LGBM Regressor: 2.8585707655480044 LGBM Regressor: 2.8592371682086446
[I 2022-11-03 02:11:13,875] Trial 132 finished with value: 2.8574716568079497 and parameters: {'num_leaves': 16, 'max_depth': 7, 'learning_rate': 0.015342955290866909, 'n_estimators': 166, 'class_weight': 'balanced', 'min_child_samples': 4, 'min_child_weight': 0.782803593944164, 'reg_alpha': 0.27194803881108315, 'reg_lambda': 0.3232611278165842}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.854938746856886 LGBM Regressor: 2.8511503311495967 LGBM Regressor: 2.850355889107792 LGBM Regressor: 2.8525477313803824 LGBM Regressor: 2.852521321380449
[I 2022-11-03 02:11:29,804] Trial 133 finished with value: 2.8510249315105405 and parameters: {'num_leaves': 18, 'max_depth': 9, 'learning_rate': 0.01273493256873958, 'n_estimators': 289, 'class_weight': 'balanced', 'min_child_samples': 5, 'min_child_weight': 0.9000896936170752, 'reg_alpha': 0.15140134793319268, 'reg_lambda': 0.40971788360928035}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.848549384534482 LGBM Regressor: 2.8667091207291526 LGBM Regressor: 2.866721480420696 LGBM Regressor: 2.8673610143052213 LGBM Regressor: 2.8683714777195655
[I 2022-11-03 02:11:35,322] Trial 134 finished with value: 2.8668961883126562 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.013607956322457747, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.7774601085312812, 'reg_alpha': 0.1796948356364659, 'reg_lambda': 0.300355402624936}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8653178483886474 LGBM Regressor: 2.8569153834401564 LGBM Regressor: 2.8571048741969483 LGBM Regressor: 2.8582684953869313 LGBM Regressor: 2.85872154515334
[I 2022-11-03 02:11:45,088] Trial 135 finished with value: 2.857166194027037 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.013585850279237432, 'n_estimators': 196, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.6978066111544278, 'reg_alpha': 0.24911309641111368, 'reg_lambda': 0.2977667629767232}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.854820671957809 LGBM Regressor: 2.8638703668432943 LGBM Regressor: 2.8634657385246087 LGBM Regressor: 2.8642954677367123 LGBM Regressor: 2.8655835301633426
[I 2022-11-03 02:11:50,238] Trial 136 finished with value: 2.8638417087380965 and parameters: {'num_leaves': 18, 'max_depth': 8, 'learning_rate': 0.01498455072822972, 'n_estimators': 102, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.7510300403541753, 'reg_alpha': 0.17960151394098078, 'reg_lambda': 0.342979423785093}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8619934404225233 LGBM Regressor: 2.8509398706517257 LGBM Regressor: 2.85045531427536 LGBM Regressor: 2.8526627824790856 LGBM Regressor: 2.8527918550416547
[I 2022-11-03 02:12:04,719] Trial 137 finished with value: 2.851033289167411 and parameters: {'num_leaves': 19, 'max_depth': 8, 'learning_rate': 0.01468423199081434, 'n_estimators': 242, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.7506235748088035, 'reg_alpha': 0.1833440934345692, 'reg_lambda': 0.3425853287745666}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8483166233892283 LGBM Regressor: 2.8455824421400653 LGBM Regressor: 2.845322770776987 LGBM Regressor: 2.8477072380856394 LGBM Regressor: 2.84775793226224
[I 2022-11-03 02:12:26,803] Trial 138 finished with value: 2.8460085145955047 and parameters: {'num_leaves': 24, 'max_depth': 9, 'learning_rate': 0.012371165687298753, 'n_estimators': 346, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.8417403453774598, 'reg_alpha': 0.2257086766582072, 'reg_lambda': 0.28764084222695646}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8436721897125925 LGBM Regressor: 2.8629182121902823 LGBM Regressor: 2.862375862028344 LGBM Regressor: 2.8636338581161014 LGBM Regressor: 2.86458232118473
[I 2022-11-03 02:12:34,378] Trial 139 finished with value: 2.862843829617353 and parameters: {'num_leaves': 15, 'max_depth': 6, 'learning_rate': 0.013363421164643634, 'n_estimators': 142, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.8120109211825453, 'reg_alpha': 0.21023730201243118, 'reg_lambda': 0.3253106003041916}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.860708894567307 LGBM Regressor: 2.8495276587463105 LGBM Regressor: 2.8469634927431864 LGBM Regressor: 2.849770762307221 LGBM Regressor: 2.8497014073502887
[I 2022-11-03 02:12:53,968] Trial 140 finished with value: 2.848225257139665 and parameters: {'num_leaves': 16, 'max_depth': 6, 'learning_rate': 0.013470089396368921, 'n_estimators': 420, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.8123157302870746, 'reg_alpha': 0.119304362474074, 'reg_lambda': 0.31765565468053836}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.845162964551319 LGBM Regressor: 2.860289900108988 LGBM Regressor: 2.85985749806366 LGBM Regressor: 2.8612373538007616 LGBM Regressor: 2.8620407319124714
[I 2022-11-03 02:13:03,117] Trial 141 finished with value: 2.8603390354444316 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.014830008831145948, 'n_estimators': 145, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9506312525778557, 'reg_alpha': 0.207468339875823, 'reg_lambda': 0.3843678423700602}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8582696933362763 LGBM Regressor: 2.870618123024293 LGBM Regressor: 2.8702489500114217 LGBM Regressor: 2.8716778632314193 LGBM Regressor: 2.8720384563462886
[I 2022-11-03 02:13:07,862] Trial 142 finished with value: 2.8708467691011554 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.012676781444306305, 'n_estimators': 96, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.7629166237204053, 'reg_alpha': 0.25647879848338084, 'reg_lambda': 0.241220541281543}. Best is trial 111 with value: 2.8709591563037997.
LGBM Regressor: 2.8696504528923557 LGBM Regressor: 2.8787539274030887 LGBM Regressor: 2.8790578670412232 LGBM Regressor: 2.8796573026503065 LGBM Regressor: 2.880064657892928
[I 2022-11-03 02:13:10,669] Trial 143 finished with value: 2.8791234089340154 and parameters: {'num_leaves': 18, 'max_depth': 7, 'learning_rate': 0.011051697240281492, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.8569675689916738, 'reg_alpha': 0.17279199427288777, 'reg_lambda': 0.24581860326424324}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.87808328968253 LGBM Regressor: 2.8558311256834754 LGBM Regressor: 2.8551289133114137 LGBM Regressor: 2.856917730658037 LGBM Regressor: 2.8579212987697953
[I 2022-11-03 02:13:21,361] Trial 144 finished with value: 2.8558064138456887 and parameters: {'num_leaves': 19, 'max_depth': 7, 'learning_rate': 0.012830108573857997, 'n_estimators': 197, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.8512438332718566, 'reg_alpha': 0.1687286194060194, 'reg_lambda': 0.25604354005105345}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.853233000805721 LGBM Regressor: 2.8769202443347304 LGBM Regressor: 2.8774891722326164 LGBM Regressor: 2.8779509565175774 LGBM Regressor: 2.8783230290931967
[I 2022-11-03 02:13:25,186] Trial 145 finished with value: 2.8774207040932622 and parameters: {'num_leaves': 22, 'max_depth': 7, 'learning_rate': 0.010400684797968135, 'n_estimators': 55, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.869049340553188, 'reg_alpha': 0.2764047741549529, 'reg_lambda': 0.3383291391835902}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.8764201182881894 LGBM Regressor: 2.420458648178701 LGBM Regressor: 2.4202765294265913 LGBM Regressor: 2.420690082870591 LGBM Regressor: 2.4202586839434863
[I 2022-11-03 02:13:28,574] Trial 146 finished with value: 2.4203331453829344 and parameters: {'num_leaves': 22, 'max_depth': 8, 'learning_rate': 0.010389746550494596, 'n_estimators': 55, 'class_weight': None, 'min_child_samples': 12, 'min_child_weight': 0.8636421299049942, 'reg_alpha': 0.282433887662287, 'reg_lambda': 0.2400431492043551}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.419981782495302 LGBM Regressor: 2.8567298236453316 LGBM Regressor: 2.8563237547388107 LGBM Regressor: 2.858097518133749 LGBM Regressor: 2.8582405324708047
[I 2022-11-03 02:13:41,113] Trial 147 finished with value: 2.856779702783922 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.011261984765091765, 'n_estimators': 282, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.8713779458146692, 'reg_alpha': 0.25474446441421583, 'reg_lambda': 0.33777456008730594}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.8545068849309136 LGBM Regressor: 2.836264104120352 LGBM Regressor: 2.8361921037847972 LGBM Regressor: 2.837985643275791 LGBM Regressor: 2.839598063828122
[I 2022-11-03 02:14:18,823] Trial 148 finished with value: 2.8370596557751635 and parameters: {'num_leaves': 26, 'max_depth': 8, 'learning_rate': 0.011776408779062003, 'n_estimators': 833, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.7178911815717053, 'reg_alpha': 0.19418577835281198, 'reg_lambda': 0.3038614785357589}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.835258363866755 LGBM Regressor: 2.8723081381747413 LGBM Regressor: 2.87218353059765 LGBM Regressor: 2.8728547340037593 LGBM Regressor: 2.873949075628582
[I 2022-11-03 02:14:22,609] Trial 149 finished with value: 2.8724319063849664 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.013816124134980621, 'n_estimators': 94, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9214422760854991, 'reg_alpha': 0.14099837170633253, 'reg_lambda': 0.35217069568341225}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.870864053520099 LGBM Regressor: 2.8781165566926 LGBM Regressor: 2.8779944364115635 LGBM Regressor: 2.878710330690724 LGBM Regressor: 2.8794746829567375
[I 2022-11-03 02:14:25,066] Trial 150 finished with value: 2.878251616697719 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.016470449451189934, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.8990431215476812, 'reg_alpha': 0.1316232183767629, 'reg_lambda': 0.3572016693575693}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.87696207673697 LGBM Regressor: 2.8769825825775883 LGBM Regressor: 2.8769895423482437 LGBM Regressor: 2.8779062708631558 LGBM Regressor: 2.878545321790513
[I 2022-11-03 02:14:27,804] Trial 151 finished with value: 2.877256870701896 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.014518327107063241, 'n_estimators': 62, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9237118515737188, 'reg_alpha': 0.14790110870273712, 'reg_lambda': 0.34855331574842974}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.875860635929978 LGBM Regressor: 2.87717475759778 LGBM Regressor: 2.877025492556831 LGBM Regressor: 2.8779325418543555 LGBM Regressor: 2.878718777368473
[I 2022-11-03 02:14:30,240] Trial 152 finished with value: 2.8773800886398675 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.0167314967720733, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9310343320582346, 'reg_alpha': 0.1340932049917098, 'reg_lambda': 0.357780994092577}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.876048873821897 LGBM Regressor: 2.873982834386786 LGBM Regressor: 2.873962193236718 LGBM Regressor: 2.8750303687624883 LGBM Regressor: 2.8759646746533654
[I 2022-11-03 02:14:33,412] Trial 153 finished with value: 2.87436079468826 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01630880789150981, 'n_estimators': 69, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.932472068772212, 'reg_alpha': 0.16521798275414562, 'reg_lambda': 0.354633926903595}. Best is trial 143 with value: 2.8791234089340154.
LGBM Regressor: 2.872863902401941 LGBM Regressor: 2.879938955279407 LGBM Regressor: 2.879532337910871 LGBM Regressor: 2.880415520534877 LGBM Regressor: 2.8812134783534553
[I 2022-11-03 02:14:35,835] Trial 154 finished with value: 2.8799734317829677 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.014042706376106244, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9526571966143426, 'reg_alpha': 0.1473006621229444, 'reg_lambda': 0.35945076922248687}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.878766866836228 LGBM Regressor: 2.874011323377821 LGBM Regressor: 2.873950497720653 LGBM Regressor: 2.874939722742815 LGBM Regressor: 2.8758652762116688
[I 2022-11-03 02:14:38,728] Trial 155 finished with value: 2.8743138136504123 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01610761545719917, 'n_estimators': 70, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9425539403623322, 'reg_alpha': 0.1265006605856914, 'reg_lambda': 0.398642361681475}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8728022481991045 LGBM Regressor: 2.8759624843329004 LGBM Regressor: 2.876329830645939 LGBM Regressor: 2.8770468772138695 LGBM Regressor: 2.877673763378883
[I 2022-11-03 02:14:41,282] Trial 156 finished with value: 2.8764725795297936 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.016000569040941374, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9372198274473081, 'reg_alpha': 0.13028653623560052, 'reg_lambda': 0.3923211605679894}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8753499420773747 LGBM Regressor: 2.877005866741791 LGBM Regressor: 2.8769152837494127 LGBM Regressor: 2.8777886408568847 LGBM Regressor: 2.87859795761207
[I 2022-11-03 02:14:43,902] Trial 157 finished with value: 2.877215877391028 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016684144318666484, 'n_estimators': 54, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9401739046316547, 'reg_alpha': 0.13194299894255723, 'reg_lambda': 0.39579047368717357}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8757716379949816 LGBM Regressor: 2.8762386827226267 LGBM Regressor: 2.876013775687276 LGBM Regressor: 2.877261973609654 LGBM Regressor: 2.877874570728809
[I 2022-11-03 02:14:46,839] Trial 158 finished with value: 2.8765174403897733 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01706606496627143, 'n_estimators': 56, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9619650810615072, 'reg_alpha': 0.1352286250756115, 'reg_lambda': 0.40320856228023405}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8751981992005025 LGBM Regressor: 2.8763310791940477 LGBM Regressor: 2.8760592170803787 LGBM Regressor: 2.8769739717163216 LGBM Regressor: 2.8778393292675046
[I 2022-11-03 02:14:49,644] Trial 159 finished with value: 2.8764432407518292 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01648293437334713, 'n_estimators': 58, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9577225078199928, 'reg_alpha': 0.1355891561381462, 'reg_lambda': 0.4495084463608279}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.875012606500892 LGBM Regressor: 2.8757863285907264 LGBM Regressor: 2.8756254850767706 LGBM Regressor: 2.876577433701914 LGBM Regressor: 2.877439580384759
[I 2022-11-03 02:14:52,518] Trial 160 finished with value: 2.875967785575056 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016653501956765095, 'n_estimators': 60, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9453223893456316, 'reg_alpha': 0.08105415435565316, 'reg_lambda': 0.4473727836258112}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8744101001211084 LGBM Regressor: 2.8756816792537876 LGBM Regressor: 2.8756965478922396 LGBM Regressor: 2.876655065780909 LGBM Regressor: 2.877648509432104
[I 2022-11-03 02:14:55,367] Trial 161 finished with value: 2.876076648802688 and parameters: {'num_leaves': 11, 'max_depth': 10, 'learning_rate': 0.017691523916931157, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9409912087677014, 'reg_alpha': 0.1364378424452547, 'reg_lambda': 0.4483829580281908}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.874701441654399 LGBM Regressor: 2.875591837774552 LGBM Regressor: 2.8753508344996006 LGBM Regressor: 2.8763697349137827 LGBM Regressor: 2.8772880446361233
[I 2022-11-03 02:14:58,458] Trial 162 finished with value: 2.8757896135290673 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016768624657295332, 'n_estimators': 60, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9569148483217644, 'reg_alpha': 0.13729550013354375, 'reg_lambda': 0.45214532434741805}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.874347615821275 LGBM Regressor: 2.877177452811734 LGBM Regressor: 2.8770281611285435 LGBM Regressor: 2.8779351070004213 LGBM Regressor: 2.8787457508256997
[I 2022-11-03 02:15:01,322] Trial 163 finished with value: 2.8773876498673263 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016728303606911344, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9422998872813764, 'reg_alpha': 0.13562717937060126, 'reg_lambda': 0.45331795455357027}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8760517775702343 LGBM Regressor: 2.875443068237819 LGBM Regressor: 2.875714255335458 LGBM Regressor: 2.876443989276224 LGBM Regressor: 2.87751037992341
[I 2022-11-03 02:15:04,106] Trial 164 finished with value: 2.875917186645096 and parameters: {'num_leaves': 11, 'max_depth': 10, 'learning_rate': 0.016926428783839237, 'n_estimators': 55, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9423950831591825, 'reg_alpha': 0.1332217978638347, 'reg_lambda': 0.4461892650941553}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.874474240452572 LGBM Regressor: 2.878277030806628 LGBM Regressor: 2.878100992974184 LGBM Regressor: 2.8788368125901878 LGBM Regressor: 2.879592713581979
[I 2022-11-03 02:15:06,555] Trial 165 finished with value: 2.8783581313637012 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01632215585415898, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9597079824739422, 'reg_alpha': 0.0889344978869842, 'reg_lambda': 0.4560317558461431}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.876983106865529 LGBM Regressor: 2.876835257221402 LGBM Regressor: 2.87661035244919 LGBM Regressor: 2.877672538479075 LGBM Regressor: 2.878488193412075
[I 2022-11-03 02:15:09,515] Trial 166 finished with value: 2.8770828980778123 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.016895841174545373, 'n_estimators': 54, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9906970356804713, 'reg_alpha': 0.08831375359700903, 'reg_lambda': 0.44705293484468395}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.875808148827319 LGBM Regressor: 2.8777472748234487 LGBM Regressor: 2.8773582083357496 LGBM Regressor: 2.8783351066682057 LGBM Regressor: 2.8789234607223957
[I 2022-11-03 02:15:12,213] Trial 167 finished with value: 2.877744791984395 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.0169874283837154, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9710528727149815, 'reg_alpha': 0.08759577212325732, 'reg_lambda': 0.5256764405527189}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.876359909372173 LGBM Regressor: 2.858321955346661 LGBM Regressor: 2.8578119908339525 LGBM Regressor: 2.85947714537275 LGBM Regressor: 2.859927447423712
[I 2022-11-03 02:15:21,155] Trial 168 finished with value: 2.8582389319494164 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.018402658100314745, 'n_estimators': 194, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9983083286723475, 'reg_alpha': 0.0810107120093354, 'reg_lambda': 0.5209012984153735}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8556561207700057 LGBM Regressor: 2.873924216125059 LGBM Regressor: 2.8739668143077126 LGBM Regressor: 2.8750330143065885 LGBM Regressor: 2.875888084735762
[I 2022-11-03 02:15:24,033] Trial 169 finished with value: 2.874383794132162 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.017365347175198647, 'n_estimators': 54, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9643036620230445, 'reg_alpha': 0.0879933355202141, 'reg_lambda': 0.4206246712955377}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8731068411856873 LGBM Regressor: 2.8590505866949867 LGBM Regressor: 2.858512343409126 LGBM Regressor: 2.8601414820812585 LGBM Regressor: 2.8605147602622814
[I 2022-11-03 02:15:32,383] Trial 170 finished with value: 2.858952332974635 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.017985592944212432, 'n_estimators': 188, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9779087609388502, 'reg_alpha': 0.030645854072618217, 'reg_lambda': 0.4976778800592663}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8565424924255223 LGBM Regressor: 2.876151370891457 LGBM Regressor: 2.876334867601588 LGBM Regressor: 2.8772069870885546 LGBM Regressor: 2.878038520855331
[I 2022-11-03 02:15:37,180] Trial 171 finished with value: 2.8766093465881055 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016888992212103247, 'n_estimators': 56, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9593341525430016, 'reg_alpha': 0.1289482485617668, 'reg_lambda': 0.4521402046505867}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.875314986503598 LGBM Regressor: 2.874678969067259 LGBM Regressor: 2.8746776954055497 LGBM Regressor: 2.875609758406747 LGBM Regressor: 2.8767787186301046
[I 2022-11-03 02:15:39,901] Trial 172 finished with value: 2.875148805813636 and parameters: {'num_leaves': 12, 'max_depth': 10, 'learning_rate': 0.017239979148572324, 'n_estimators': 54, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9719036441879463, 'reg_alpha': 0.09621507937215378, 'reg_lambda': 0.46022149104008553}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8739988875585185 LGBM Regressor: 2.8590157697606147 LGBM Regressor: 2.858462583460096 LGBM Regressor: 2.8602760855663205 LGBM Regressor: 2.860665965136519
[I 2022-11-03 02:15:48,643] Trial 173 finished with value: 2.8589852713168233 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.019203940127444797, 'n_estimators': 175, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9039496917728855, 'reg_alpha': 0.06628271030209547, 'reg_lambda': 0.4244619317590427}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.856505952660565 LGBM Regressor: 2.875731336298334 LGBM Regressor: 2.8758978266674955 LGBM Regressor: 2.8770327736126537 LGBM Regressor: 2.8778610706685015
[I 2022-11-03 02:15:51,641] Trial 174 finished with value: 2.8763763126703648 and parameters: {'num_leaves': 12, 'max_depth': 11, 'learning_rate': 0.016858734316040146, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9237522732879007, 'reg_alpha': 0.12336406697333205, 'reg_lambda': 0.5483498597283237}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.875358556104839 LGBM Regressor: 2.8577941053272027 LGBM Regressor: 2.857850759343525 LGBM Regressor: 2.8592687658056404 LGBM Regressor: 2.859623267473481
[I 2022-11-03 02:16:00,052] Trial 175 finished with value: 2.8580582575639455 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.01640172599486187, 'n_estimators': 172, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9232491437605649, 'reg_alpha': 0.11268779506394506, 'reg_lambda': 0.569188511950451}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.85575438986988 LGBM Regressor: 2.8719126694831454 LGBM Regressor: 2.8724616755385988 LGBM Regressor: 2.8730358678322383 LGBM Regressor: 2.874159317671396
[I 2022-11-03 02:16:05,161] Trial 176 finished with value: 2.872571269305504 and parameters: {'num_leaves': 19, 'max_depth': 11, 'learning_rate': 0.015783919018798092, 'n_estimators': 54, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9899982512053535, 'reg_alpha': 0.1192198907215036, 'reg_lambda': 0.520899507714019}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.871286816002142 LGBM Regressor: 2.4064837850042573 LGBM Regressor: 2.405984259383769 LGBM Regressor: 2.4068283212373536 LGBM Regressor: 2.405909481322149
[I 2022-11-03 02:16:15,439] Trial 177 finished with value: 2.4059805238928402 and parameters: {'num_leaves': 14, 'max_depth': 12, 'learning_rate': 0.01784818568696647, 'n_estimators': 204, 'class_weight': None, 'min_child_samples': 6, 'min_child_weight': 0.8914520243142667, 'reg_alpha': 0.15094778641268147, 'reg_lambda': 0.46399303388938073}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.4046967725166706 LGBM Regressor: 2.8637618792175767 LGBM Regressor: 2.8636083977588402 LGBM Regressor: 2.8643931674893626 LGBM Regressor: 2.8651672656105394
[I 2022-11-03 02:16:20,911] Trial 178 finished with value: 2.8636900998596007 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.016052655452734512, 'n_estimators': 147, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9152958013134626, 'reg_alpha': 0.07288706300447916, 'reg_lambda': 0.49293821029564117}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8615197892216835 LGBM Regressor: 2.850827208750476 LGBM Regressor: 2.850176431504604 LGBM Regressor: 2.85224570201226 LGBM Regressor: 2.8524379076105233
[I 2022-11-03 02:16:34,493] Trial 179 finished with value: 2.850764984042918 and parameters: {'num_leaves': 19, 'max_depth': 10, 'learning_rate': 0.014613579326012397, 'n_estimators': 244, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9620728788394869, 'reg_alpha': 0.006082398697084185, 'reg_lambda': 0.5605116820694427}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8481376703367283 LGBM Regressor: 2.831524560990857 LGBM Regressor: 2.8288488620550765 LGBM Regressor: 2.8327245270707255 LGBM Regressor: 2.8333154888641876
[I 2022-11-03 02:17:28,096] Trial 180 finished with value: 2.8312550987527283 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.017242481220461212, 'n_estimators': 1881, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.935777434730077, 'reg_alpha': 0.09627915171006862, 'reg_lambda': 0.3970458088913124}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8298620547827946 LGBM Regressor: 2.877926312059244 LGBM Regressor: 2.8775590585763977 LGBM Regressor: 2.8785123089168025 LGBM Regressor: 2.879161674635955
[I 2022-11-03 02:17:30,567] Trial 181 finished with value: 2.8779503143360166 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016984892452568883, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9509070969819784, 'reg_alpha': 0.1313951101000952, 'reg_lambda': 0.4357843854781559}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.876592217491683 LGBM Regressor: 2.8785944465624014 LGBM Regressor: 2.8783081360484823 LGBM Regressor: 2.879066058091499 LGBM Regressor: 2.8798589832082793
[I 2022-11-03 02:17:32,937] Trial 182 finished with value: 2.8786294690725933 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.015341638303397685, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9724382089247706, 'reg_alpha': 0.12396604009452342, 'reg_lambda': 0.4282607459906307}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8773197214523027 LGBM Regressor: 2.858922466925803 LGBM Regressor: 2.858509000037437 LGBM Regressor: 2.859748442084381 LGBM Regressor: 2.8604766626508553
[I 2022-11-03 02:17:41,360] Trial 183 finished with value: 2.858851250971287 and parameters: {'num_leaves': 16, 'max_depth': 11, 'learning_rate': 0.01530569646208671, 'n_estimators': 149, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9999872102379989, 'reg_alpha': 0.14937573667976772, 'reg_lambda': 0.4275081693354094}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8565996831579596 LGBM Regressor: 2.873279271267825 LGBM Regressor: 2.872966632289689 LGBM Regressor: 2.8740313784397324 LGBM Regressor: 2.8751104791832947
[I 2022-11-03 02:17:46,096] Trial 184 finished with value: 2.8735347581568633 and parameters: {'num_leaves': 12, 'max_depth': 12, 'learning_rate': 0.018873549311247947, 'n_estimators': 55, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9799808521087184, 'reg_alpha': 0.12024263033438029, 'reg_lambda': 0.3837023023343261}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.872286029603775 LGBM Regressor: 2.856829234858271 LGBM Regressor: 2.856763887593802 LGBM Regressor: 2.8581668979390127 LGBM Regressor: 2.8584693240709367
[I 2022-11-03 02:17:54,663] Trial 185 finished with value: 2.856964097650767 and parameters: {'num_leaves': 14, 'max_depth': 11, 'learning_rate': 0.018159872581730234, 'n_estimators': 158, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9030722667802075, 'reg_alpha': 0.1341772424745009, 'reg_lambda': 0.5333618214222179}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8545911437918123 LGBM Regressor: 2.8737900860007333 LGBM Regressor: 2.873912449661277 LGBM Regressor: 2.8748816502912216 LGBM Regressor: 2.875762281459745
[I 2022-11-03 02:17:58,533] Trial 186 finished with value: 2.874311917518085 and parameters: {'num_leaves': 17, 'max_depth': 10, 'learning_rate': 0.015738735139911975, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9630275275145788, 'reg_alpha': 0.108084880507232, 'reg_lambda': 0.40663341438278644}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.873213120177451 LGBM Regressor: 2.8601757542827855 LGBM Regressor: 2.8601541149866874 LGBM Regressor: 2.861402390582482 LGBM Regressor: 2.861972291501089
[I 2022-11-03 02:18:06,105] Trial 187 finished with value: 2.8604070393774705 and parameters: {'num_leaves': 13, 'max_depth': 9, 'learning_rate': 0.01713029826537853, 'n_estimators': 139, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9242261540492519, 'reg_alpha': 0.16314511230367051, 'reg_lambda': 0.47239206735496764}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8583306455343087 LGBM Regressor: 2.8592201360007774 LGBM Regressor: 2.8588110824864925 LGBM Regressor: 2.860452697773364 LGBM Regressor: 2.8609823213113588
[I 2022-11-03 02:18:15,929] Trial 188 finished with value: 2.859253728370395 and parameters: {'num_leaves': 10, 'max_depth': 12, 'learning_rate': 0.015120698070306235, 'n_estimators': 217, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.8820429759792163, 'reg_alpha': 0.04566562058396216, 'reg_lambda': 0.588907044860714}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8568024042799838 LGBM Regressor: 2.8560695400365734 LGBM Regressor: 2.855639818995946 LGBM Regressor: 2.857028071514186 LGBM Regressor: 2.8575144061258397
[I 2022-11-03 02:18:23,959] Trial 189 finished with value: 2.8559611852131312 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.0195225564744858, 'n_estimators': 150, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.9772737248870168, 'reg_alpha': 0.0991266056460247, 'reg_lambda': 0.43012260928296825}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8535540893931115 LGBM Regressor: 2.858623656210023 LGBM Regressor: 2.8584888979991887 LGBM Regressor: 2.8598716960681907 LGBM Regressor: 2.8608625655844357
[I 2022-11-03 02:18:32,026] Trial 190 finished with value: 2.8588545270727455 and parameters: {'num_leaves': 21, 'max_depth': 9, 'learning_rate': 0.01604701912088991, 'n_estimators': 118, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9481656263384228, 'reg_alpha': 0.13541860054091137, 'reg_lambda': 0.3744348493782538}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8564258195018906 LGBM Regressor: 2.8775191744130675 LGBM Regressor: 2.8773435383441206 LGBM Regressor: 2.8782134631767606 LGBM Regressor: 2.879066389641022
[I 2022-11-03 02:18:34,765] Trial 191 finished with value: 2.8777269995817516 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016851242935382617, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9410520678932656, 'reg_alpha': 0.08026352233016767, 'reg_lambda': 0.44366599568695686}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8764924323337886 LGBM Regressor: 2.8734873437602 LGBM Regressor: 2.873317957115775 LGBM Regressor: 2.874605162440922 LGBM Regressor: 2.875621524819023
[I 2022-11-03 02:18:37,418] Trial 192 finished with value: 2.873988947896476 and parameters: {'num_leaves': 12, 'max_depth': 11, 'learning_rate': 0.01771343428709149, 'n_estimators': 57, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9150437919260784, 'reg_alpha': 0.1497452975168259, 'reg_lambda': 0.4096146899389633}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8729127513464627 LGBM Regressor: 2.867926348201993 LGBM Regressor: 2.8677856353191213 LGBM Regressor: 2.8685285971293237 LGBM Regressor: 2.86908309434541
[I 2022-11-03 02:18:41,868] Trial 193 finished with value: 2.8678819827710953 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.014477456923548099, 'n_estimators': 122, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9319408981704032, 'reg_alpha': 0.11947294808867202, 'reg_lambda': 0.47535340969976114}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8660862388596273 LGBM Regressor: 2.874203879163102 LGBM Regressor: 2.8745442685989886 LGBM Regressor: 2.875304927174564 LGBM Regressor: 2.876349723698225
[I 2022-11-03 02:18:44,635] Trial 194 finished with value: 2.874886408671442 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.016517424521268663, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9624732755236973, 'reg_alpha': 0.06122196108877669, 'reg_lambda': 0.44186288592666195}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.874029244722329 LGBM Regressor: 2.8571259375507414 LGBM Regressor: 2.8567069725532703 LGBM Regressor: 2.858261007481353 LGBM Regressor: 2.8583402146987145
[I 2022-11-03 02:18:53,127] Trial 195 finished with value: 2.8569865550521385 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.015585544663519808, 'n_estimators': 197, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.8924133296644426, 'reg_alpha': 0.09420364898370734, 'reg_lambda': 0.5023726814596217}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.854498642976614 LGBM Regressor: 2.87132021126075 LGBM Regressor: 2.871306561445255 LGBM Regressor: 2.8723614275699414 LGBM Regressor: 2.8734682706223604
[I 2022-11-03 02:18:56,976] Trial 196 finished with value: 2.8718326880129332 and parameters: {'num_leaves': 17, 'max_depth': 9, 'learning_rate': 0.018278830574071578, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9824155151685913, 'reg_alpha': 0.12294827720422272, 'reg_lambda': 0.38960878907667335}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.870706969166357 LGBM Regressor: 2.8618331639843264 LGBM Regressor: 2.861595374197524 LGBM Regressor: 2.8629614263098824 LGBM Regressor: 2.8634160813605742
[I 2022-11-03 02:19:04,528] Trial 197 finished with value: 2.8619534662112645 and parameters: {'num_leaves': 12, 'max_depth': 10, 'learning_rate': 0.01683297177663157, 'n_estimators': 136, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9558616662521308, 'reg_alpha': 0.14390425519378566, 'reg_lambda': 0.46106394969569975}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8599612852040157 LGBM Regressor: 2.8571091656056375 LGBM Regressor: 2.8562323500500058 LGBM Regressor: 2.8581849975650533 LGBM Regressor: 2.858365950951281
[I 2022-11-03 02:19:13,519] Trial 198 finished with value: 2.85683575484832 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.017536268379318664, 'n_estimators': 228, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9327766749863617, 'reg_alpha': 0.10516960520983443, 'reg_lambda': 0.6309542198231899}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.854286310069624 LGBM Regressor: 2.8600408376509656 LGBM Regressor: 2.859350363992999 LGBM Regressor: 2.860544227929922 LGBM Regressor: 2.861836119073947
[I 2022-11-03 02:19:21,988] Trial 199 finished with value: 2.859879170869069 and parameters: {'num_leaves': 18, 'max_depth': 13, 'learning_rate': 0.015000358350579187, 'n_estimators': 130, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9097521055982895, 'reg_alpha': 0.07771699699930522, 'reg_lambda': 0.4360110180443449}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.857624305697512 LGBM Regressor: 2.832827170034241 LGBM Regressor: 2.831109156502053 LGBM Regressor: 2.8345084267092218 LGBM Regressor: 2.835075180862999
[I 2022-11-03 02:20:06,366] Trial 200 finished with value: 2.8328606828773255 and parameters: {'num_leaves': 15, 'max_depth': 11, 'learning_rate': 0.016074115208703055, 'n_estimators': 1535, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9971756776864628, 'reg_alpha': 0.1498070948916486, 'reg_lambda': 0.41709374165210084}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.830783480278111 LGBM Regressor: 2.8772234715215905 LGBM Regressor: 2.8769482408662204 LGBM Regressor: 2.8779464904782506 LGBM Regressor: 2.8787413934061976
[I 2022-11-03 02:20:09,167] Trial 201 finished with value: 2.877382661074937 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016709074826956074, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9438368490764011, 'reg_alpha': 0.073818556047509, 'reg_lambda': 0.4484184713409308}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.876053709102425 LGBM Regressor: 2.867527290591041 LGBM Regressor: 2.8674201402949797 LGBM Regressor: 2.8682153492724023 LGBM Regressor: 2.868974083425957
[I 2022-11-03 02:20:13,291] Trial 202 finished with value: 2.8675991198138795 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016834941144572388, 'n_estimators': 107, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.947247881985796, 'reg_alpha': 0.035954715069845086, 'reg_lambda': 0.4851160863399663}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8658587354850185 LGBM Regressor: 2.8672857037237423 LGBM Regressor: 2.867061721378813 LGBM Regressor: 2.868160655411567 LGBM Regressor: 2.8687782855777777
[I 2022-11-03 02:20:17,438] Trial 203 finished with value: 2.867417389446943 and parameters: {'num_leaves': 13, 'max_depth': 9, 'learning_rate': 0.01428921423603697, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9723213570038333, 'reg_alpha': 0.06466332369036042, 'reg_lambda': 0.3678974372746584}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8658005811428144 LGBM Regressor: 2.874788685309803 LGBM Regressor: 2.875042682078013 LGBM Regressor: 2.875925095212689 LGBM Regressor: 2.8766725987083124
[I 2022-11-03 02:20:19,902] Trial 204 finished with value: 2.875285764879145 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.01766696329317051, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9275982000368146, 'reg_alpha': 0.16144236917543028, 'reg_lambda': 0.40520034839883434}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.873999763086906 LGBM Regressor: 2.862187826599447 LGBM Regressor: 2.862047054897344 LGBM Regressor: 2.8631248453723703 LGBM Regressor: 2.863737535751222
[I 2022-11-03 02:20:28,086] Trial 205 finished with value: 2.8622118722263656 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01549011957897193, 'n_estimators': 169, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9523942220536811, 'reg_alpha': 0.12311263904341707, 'reg_lambda': 0.4474689362052574}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.859962098511445 LGBM Regressor: 2.8355857440138834 LGBM Regressor: 2.8335441032531974 LGBM Regressor: 2.837173288292804 LGBM Regressor: 2.8378637893140817
[I 2022-11-03 02:21:01,975] Trial 206 finished with value: 2.8355084579494814 and parameters: {'num_leaves': 15, 'max_depth': 9, 'learning_rate': 0.018649353894432577, 'n_estimators': 1066, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.914725141243996, 'reg_alpha': 0.09483529018444753, 'reg_lambda': 0.5087291060449443}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8333753648734397 LGBM Regressor: 2.8651510898857953 LGBM Regressor: 2.86497999902999 LGBM Regressor: 2.865876265071076 LGBM Regressor: 2.866466417186577
[I 2022-11-03 02:21:08,379] Trial 207 finished with value: 2.8652275115786354 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.01638982298975631, 'n_estimators': 106, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.8831392683080598, 'reg_alpha': 0.12765414870293618, 'reg_lambda': 0.4643329159796403}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.863663786719737 LGBM Regressor: 2.871387977059326 LGBM Regressor: 2.8716669203700076 LGBM Regressor: 2.8723291933738806 LGBM Regressor: 2.8737320018093446
[I 2022-11-03 02:21:11,350] Trial 208 finished with value: 2.871990262035826 and parameters: {'num_leaves': 18, 'max_depth': 10, 'learning_rate': 0.017106567829391482, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.9784990040266466, 'reg_alpha': 0.07929670595123484, 'reg_lambda': 0.3859157552339088}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.870835217566572 LGBM Regressor: 2.4109348812869698 LGBM Regressor: 2.4111311904057984 LGBM Regressor: 2.411672585151122 LGBM Regressor: 2.411140383729785
[I 2022-11-03 02:21:17,878] Trial 209 finished with value: 2.41092015977399 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.016079684944520983, 'n_estimators': 175, 'class_weight': None, 'min_child_samples': 12, 'min_child_weight': 0.9438839591202858, 'reg_alpha': 0.16508332487362753, 'reg_lambda': 0.5346621867697536}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.409721758296275 LGBM Regressor: 2.874842631542172 LGBM Regressor: 2.875081046810987 LGBM Regressor: 2.875699163274399 LGBM Regressor: 2.8766799089748023
[I 2022-11-03 02:21:22,390] Trial 210 finished with value: 2.875341884498975 and parameters: {'num_leaves': 16, 'max_depth': 12, 'learning_rate': 0.015116823336614743, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9647598132750712, 'reg_alpha': 0.10218706948601367, 'reg_lambda': 0.4283945851322618}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8744066718925145 LGBM Regressor: 2.8666739119651563 LGBM Regressor: 2.8666936698837673 LGBM Regressor: 2.8673096555903443 LGBM Regressor: 2.8680045989998826
[I 2022-11-03 02:21:28,485] Trial 211 finished with value: 2.866711031119949 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.016697368207754776, 'n_estimators': 115, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9415354365102023, 'reg_alpha': 0.07306821455445699, 'reg_lambda': 0.44466576089386056}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8648733191605955 LGBM Regressor: 2.8636427661567043 LGBM Regressor: 2.863739850962574 LGBM Regressor: 2.8646163863569174 LGBM Regressor: 2.8655013275686967
[I 2022-11-03 02:21:34,717] Trial 212 finished with value: 2.863942248289976 and parameters: {'num_leaves': 12, 'max_depth': 10, 'learning_rate': 0.01730192521460055, 'n_estimators': 115, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.8991579015874999, 'reg_alpha': 0.05330983201523573, 'reg_lambda': 0.4545475701559189}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.862210910404985 LGBM Regressor: 2.8671047750045675 LGBM Regressor: 2.866820708207689 LGBM Regressor: 2.867709528783321 LGBM Regressor: 2.86827668637815
[I 2022-11-03 02:21:38,953] Trial 213 finished with value: 2.8669899564769454 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.018068052349632612, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9299159747000185, 'reg_alpha': 0.08576699407108487, 'reg_lambda': 0.4090565694887819}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8650380840109992 LGBM Regressor: 2.8562951366133844 LGBM Regressor: 2.855846903246817 LGBM Regressor: 2.8574969758623374 LGBM Regressor: 2.8578106373674883
[I 2022-11-03 02:21:48,406] Trial 214 finished with value: 2.85625680212848 and parameters: {'num_leaves': 14, 'max_depth': 11, 'learning_rate': 0.016406570439169117, 'n_estimators': 184, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9520741868590239, 'reg_alpha': 0.017384281111569637, 'reg_lambda': 0.482748310078471}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8538343575523744 LGBM Regressor: 2.8673434607597015 LGBM Regressor: 2.8670471949625744 LGBM Regressor: 2.8679009572447223 LGBM Regressor: 2.868391552751448
[I 2022-11-03 02:21:54,520] Trial 215 finished with value: 2.867292998495826 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.015708823421333024, 'n_estimators': 96, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9860836691753753, 'reg_alpha': 0.11394191201157428, 'reg_lambda': 0.4344884571270567}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8657818267606854 LGBM Regressor: 2.859470715534983 LGBM Regressor: 2.8590404268548064 LGBM Regressor: 2.8605084868190076 LGBM Regressor: 2.8609628327278607
[I 2022-11-03 02:22:02,393] Trial 216 finished with value: 2.859366089467673 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.01923477902132205, 'n_estimators': 170, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9097318143849858, 'reg_alpha': 0.13633473782831296, 'reg_lambda': 0.3674040522932201}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8568479854017075 LGBM Regressor: 2.8529224403099933 LGBM Regressor: 2.8526290233926836 LGBM Regressor: 2.854387673651047 LGBM Regressor: 2.854075656058969
[I 2022-11-03 02:22:14,389] Trial 217 finished with value: 2.8528429837134177 and parameters: {'num_leaves': 15, 'max_depth': 9, 'learning_rate': 0.014685682838311868, 'n_estimators': 253, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.8670503059210756, 'reg_alpha': 0.1109146547460487, 'reg_lambda': 0.46559839223327837}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8502001251543967 LGBM Regressor: 2.8749022515793845 LGBM Regressor: 2.874931088327502 LGBM Regressor: 2.8759377615457113 LGBM Regressor: 2.8769458408954964
[I 2022-11-03 02:22:17,247] Trial 218 finished with value: 2.8754051663906766 and parameters: {'num_leaves': 12, 'max_depth': 11, 'learning_rate': 0.01688178758577432, 'n_estimators': 54, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9648977017718292, 'reg_alpha': 0.14311403292012143, 'reg_lambda': 0.3881277927271401}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.874308889605288 LGBM Regressor: 2.8706647705727124 LGBM Regressor: 2.871198487919576 LGBM Regressor: 2.8719986320019886 LGBM Regressor: 2.873226867817421
[I 2022-11-03 02:22:20,547] Trial 219 finished with value: 2.87144772767829 and parameters: {'num_leaves': 19, 'max_depth': 10, 'learning_rate': 0.01779626157273875, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9384141237639233, 'reg_alpha': 0.08804834799770497, 'reg_lambda': 0.4154304484924569}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.870149880079752 LGBM Regressor: 2.8588660731550615 LGBM Regressor: 2.858547375746219 LGBM Regressor: 2.859732231426876 LGBM Regressor: 2.860595686989239
[I 2022-11-03 02:22:28,916] Trial 220 finished with value: 2.8588775298846203 and parameters: {'num_leaves': 16, 'max_depth': 9, 'learning_rate': 0.015713796061211777, 'n_estimators': 144, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9149865756877051, 'reg_alpha': 0.1703855633872451, 'reg_lambda': 0.5041105611081741}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8566462821057033 LGBM Regressor: 2.8773755648309605 LGBM Regressor: 2.877579626300302 LGBM Regressor: 2.878435595237072 LGBM Regressor: 2.8790063392289444
[I 2022-11-03 02:22:31,743] Trial 221 finished with value: 2.8777815562334164 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01712556353249147, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9397407889610103, 'reg_alpha': 0.12996334012199584, 'reg_lambda': 0.44603242414224453}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8765106555698026 LGBM Regressor: 2.867713659988325 LGBM Regressor: 2.86752637721051 LGBM Regressor: 2.8683679974769376 LGBM Regressor: 2.869173334001132
[I 2022-11-03 02:22:35,705] Trial 222 finished with value: 2.8677446925341634 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01648022166846515, 'n_estimators': 108, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9523240426068791, 'reg_alpha': 0.13040255639430595, 'reg_lambda': 0.44363792802888574}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8659420939939113 LGBM Regressor: 2.873687963619934 LGBM Regressor: 2.8735019802684096 LGBM Regressor: 2.8748818905891524 LGBM Regressor: 2.8755395493024802
[I 2022-11-03 02:22:38,261] Trial 223 finished with value: 2.874069757683892 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.018518418990131118, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9979681149438706, 'reg_alpha': 0.15480128432542, 'reg_lambda': 0.4736237485070425}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.872737404639482 LGBM Regressor: 2.8675599596789243 LGBM Regressor: 2.8676635521861717 LGBM Regressor: 2.8680982545365246 LGBM Regressor: 2.8689934645907043
[I 2022-11-03 02:22:42,176] Trial 224 finished with value: 2.867594932817661 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.0174731009558545, 'n_estimators': 103, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9709946947884563, 'reg_alpha': 0.10768504634938098, 'reg_lambda': 0.42902232601747364}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8656594330959795 LGBM Regressor: 2.8764255163902277 LGBM Regressor: 2.8765756239107376 LGBM Regressor: 2.877143653906767 LGBM Regressor: 2.878035444657611
[I 2022-11-03 02:22:44,669] Trial 225 finished with value: 2.876778738759976 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.015356526733462545, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9323296829941364, 'reg_alpha': 0.12596277455267837, 'reg_lambda': 0.4010670903914192}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8757134549345373 LGBM Regressor: 2.8592473895238717 LGBM Regressor: 2.859429539677079 LGBM Regressor: 2.860446379555323 LGBM Regressor: 2.8612260404016263
[I 2022-11-03 02:22:53,155] Trial 226 finished with value: 2.859549608741296 and parameters: {'num_leaves': 14, 'max_depth': 11, 'learning_rate': 0.015268002939229116, 'n_estimators': 156, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.924971250654627, 'reg_alpha': 0.12793695339337202, 'reg_lambda': 0.3991962950864378}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8573986945485763 LGBM Regressor: 2.864846703584969 LGBM Regressor: 2.8645467214792286 LGBM Regressor: 2.8652586673590448 LGBM Regressor: 2.8664155558241378
[I 2022-11-03 02:22:59,055] Trial 227 finished with value: 2.864822127079181 and parameters: {'num_leaves': 17, 'max_depth': 12, 'learning_rate': 0.01420529106387014, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.896027793264695, 'reg_alpha': 0.1542788325657696, 'reg_lambda': 0.3800734950398147}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.863042987148527 LGBM Regressor: 2.8562250913802116 LGBM Regressor: 2.8559504166021212 LGBM Regressor: 2.857622127456036 LGBM Regressor: 2.857640359337273
[I 2022-11-03 02:23:08,786] Trial 228 finished with value: 2.8562348883473705 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.01594164836816616, 'n_estimators': 204, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9309255684181779, 'reg_alpha': 0.183147340626825, 'reg_lambda': 0.3573588475442466}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.853736446961211 LGBM Regressor: 2.8768341054505573 LGBM Regressor: 2.8771329543082955 LGBM Regressor: 2.8777089706589667 LGBM Regressor: 2.878376697135462
[I 2022-11-03 02:23:11,590] Trial 229 finished with value: 2.87725420128153 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.015034455854813932, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9750530339943382, 'reg_alpha': 0.13460378117125926, 'reg_lambda': 0.41394145917060243}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.876218278854367 LGBM Regressor: 2.8752040166474666 LGBM Regressor: 2.875863506496595 LGBM Regressor: 2.876243445833513 LGBM Regressor: 2.877301502410989
[I 2022-11-03 02:23:14,586] Trial 230 finished with value: 2.8759270293896657 and parameters: {'num_leaves': 16, 'max_depth': 9, 'learning_rate': 0.014722852073899333, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9728725830870717, 'reg_alpha': 0.1105633147238537, 'reg_lambda': 0.4069850522399077}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8750226755597637 LGBM Regressor: 2.8763983729216225 LGBM Regressor: 2.876440240930664 LGBM Regressor: 2.8773554311269023 LGBM Regressor: 2.8782905549099835
[I 2022-11-03 02:23:17,595] Trial 231 finished with value: 2.8768452547381957 and parameters: {'num_leaves': 12, 'max_depth': 10, 'learning_rate': 0.01625010198467439, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.956757995876566, 'reg_alpha': 0.13824682278119946, 'reg_lambda': 0.42641003831329294}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8757416738018065 LGBM Regressor: 2.8642908244456247 LGBM Regressor: 2.8641101079389553 LGBM Regressor: 2.86516324545796 LGBM Regressor: 2.8657123712544053
[I 2022-11-03 02:23:23,797] Trial 232 finished with value: 2.864372316158076 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.01567754675903016, 'n_estimators': 117, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.960067911913596, 'reg_alpha': 0.14128588873116615, 'reg_lambda': 0.4203138868681993}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.862585031693435 LGBM Regressor: 2.863229275864871 LGBM Regressor: 2.8629082959727277 LGBM Regressor: 2.8641867470346325 LGBM Regressor: 2.8646492518575553
[I 2022-11-03 02:23:30,898] Trial 233 finished with value: 2.86316312758158 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.016498720539959776, 'n_estimators': 148, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9865579228312681, 'reg_alpha': 0.1636899736319002, 'reg_lambda': 0.9876714017145952}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8608420671781145 LGBM Regressor: 2.8704899849213033 LGBM Regressor: 2.8702797069374126 LGBM Regressor: 2.8713610887597834 LGBM Regressor: 2.8720405340103725
[I 2022-11-03 02:23:37,078] Trial 234 finished with value: 2.870725787557109 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.01012473475642889, 'n_estimators': 120, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9566500420947108, 'reg_alpha': 0.11998488841445477, 'reg_lambda': 0.3982605173094228}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8694576231566735 LGBM Regressor: 2.8747070275134456 LGBM Regressor: 2.8750921864198005 LGBM Regressor: 2.8756510823450205 LGBM Regressor: 2.8766472224378803
[I 2022-11-03 02:23:41,911] Trial 235 finished with value: 2.875297289466995 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.015037543119955084, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9143777985675068, 'reg_alpha': 0.09678925663790021, 'reg_lambda': 0.37138959112741277}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8743889286188287 LGBM Regressor: 2.8597962114050532 LGBM Regressor: 2.859515445420231 LGBM Regressor: 2.861066584132438 LGBM Regressor: 2.862007198445672
[I 2022-11-03 02:23:48,531] Trial 236 finished with value: 2.8600342186845378 and parameters: {'num_leaves': 20, 'max_depth': 10, 'learning_rate': 0.017144753884555046, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9348900765331721, 'reg_alpha': 0.12785708581667896, 'reg_lambda': 0.43014988478730337}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.857785654019293 LGBM Regressor: 2.8764380544542756 LGBM Regressor: 2.8765918036435663 LGBM Regressor: 2.8773742635660904 LGBM Regressor: 2.8783660601486645
[I 2022-11-03 02:23:51,011] Trial 237 finished with value: 2.8769047959141103 and parameters: {'num_leaves': 12, 'max_depth': 11, 'learning_rate': 0.016092488992552653, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9783116354013679, 'reg_alpha': 0.14713867033399788, 'reg_lambda': 0.5431486186025839}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.875753797757954 LGBM Regressor: 2.862851266727111 LGBM Regressor: 2.862518272168226 LGBM Regressor: 2.863738945737227 LGBM Regressor: 2.8641698464569734
[I 2022-11-03 02:24:00,001] Trial 238 finished with value: 2.8627681846008755 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.015913837178427623, 'n_estimators': 158, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9765192075046202, 'reg_alpha': 0.17780942734499258, 'reg_lambda': 0.45806020504867084}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.860562591914839 LGBM Regressor: 2.8758733378480437 LGBM Regressor: 2.876311962148072 LGBM Regressor: 2.8768306694058463 LGBM Regressor: 2.8778412665994035
[I 2022-11-03 02:24:03,969] Trial 239 finished with value: 2.876499272675722 and parameters: {'num_leaves': 16, 'max_depth': 10, 'learning_rate': 0.013893133438185308, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9876996917448227, 'reg_alpha': 0.162732169887612, 'reg_lambda': 0.3892977520650697}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.875639127377242 LGBM Regressor: 2.855117674235078 LGBM Regressor: 2.854272478728207 LGBM Regressor: 2.8559886124036877 LGBM Regressor: 2.856396595424408
[I 2022-11-03 02:24:14,426] Trial 240 finished with value: 2.8548072310427237 and parameters: {'num_leaves': 17, 'max_depth': 9, 'learning_rate': 0.014278255460094532, 'n_estimators': 201, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9904150129310373, 'reg_alpha': 0.15867659662339637, 'reg_lambda': 0.3827996289289821}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8522607944222385 LGBM Regressor: 2.8681847063134858 LGBM Regressor: 2.8678049101425547 LGBM Regressor: 2.8689716827600376 LGBM Regressor: 2.8694059029265206
[I 2022-11-03 02:24:19,180] Trial 241 finished with value: 2.8682245053752267 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.013897989232708621, 'n_estimators': 103, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9716027339468445, 'reg_alpha': 0.145911485476887, 'reg_lambda': 0.4159477210527671}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.866755324733535 LGBM Regressor: 2.8643068018020275 LGBM Regressor: 2.8642710812396674 LGBM Regressor: 2.8650685672343155 LGBM Regressor: 2.865986938555863
[I 2022-11-03 02:24:26,126] Trial 242 finished with value: 2.8644561331335376 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.015170841475683764, 'n_estimators': 109, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9995029356893336, 'reg_alpha': 0.14182300911915072, 'reg_lambda': 0.35980826289197504}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8626472768358138 LGBM Regressor: 2.878199772622886 LGBM Regressor: 2.8780497257916595 LGBM Regressor: 2.878747343856801 LGBM Regressor: 2.879523606203026
[I 2022-11-03 02:24:28,825] Trial 243 finished with value: 2.878289783203118 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01639619749464317, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9568178800477977, 'reg_alpha': 0.10326225003253485, 'reg_lambda': 0.3959945851558161}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8769284675412186 LGBM Regressor: 2.8666531607148116 LGBM Regressor: 2.8663474856254205 LGBM Regressor: 2.8674438718466453 LGBM Regressor: 2.8679834257683323
[I 2022-11-03 02:24:33,078] Trial 244 finished with value: 2.8667029397864563 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.01542888628706621, 'n_estimators': 102, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.9458165102564613, 'reg_alpha': 0.1048665967626465, 'reg_lambda': 0.3938017813631742}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.865086754977072 LGBM Regressor: 2.8779449692996657 LGBM Regressor: 2.877744700397357 LGBM Regressor: 2.8786678194081436 LGBM Regressor: 2.879492168959711
[I 2022-11-03 02:24:35,725] Trial 245 finished with value: 2.878128075822654 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.015961010615587308, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9726342211233421, 'reg_alpha': 0.0751067671501761, 'reg_lambda': 0.40385434002243287}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.876790721048394 LGBM Regressor: 2.864372271523701 LGBM Regressor: 2.863937280617232 LGBM Regressor: 2.8649123553366524 LGBM Regressor: 2.865479197008124
[I 2022-11-03 02:24:43,810] Trial 246 finished with value: 2.864160622307606 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.014619811793322604, 'n_estimators': 156, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9758021560493434, 'reg_alpha': 0.06195714136151611, 'reg_lambda': 0.3413279251463107}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8621020070523198 LGBM Regressor: 2.8739777150088646 LGBM Regressor: 2.874473508225149 LGBM Regressor: 2.875006151031365 LGBM Regressor: 2.8760588451814386
[I 2022-11-03 02:24:47,375] Trial 247 finished with value: 2.874608935122302 and parameters: {'num_leaves': 16, 'max_depth': 11, 'learning_rate': 0.016314476812355365, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9619418440394654, 'reg_alpha': 0.08430368396221875, 'reg_lambda': 0.418028916155808}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.873528456164693 LGBM Regressor: 2.4141462079459166 LGBM Regressor: 2.414271805336751 LGBM Regressor: 2.414655526045316 LGBM Regressor: 2.4140315412334834
[I 2022-11-03 02:24:51,114] Trial 248 finished with value: 2.4140493820380398 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.017285227791538262, 'n_estimators': 114, 'class_weight': None, 'min_child_samples': 12, 'min_child_weight': 0.9829554738876258, 'reg_alpha': 0.0404363146853396, 'reg_lambda': 0.3721923272043667}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.4131418296287315 LGBM Regressor: 2.877730725056544 LGBM Regressor: 2.8780588490846126 LGBM Regressor: 2.878733165186746 LGBM Regressor: 2.8793207326931727
[I 2022-11-03 02:24:53,876] Trial 249 finished with value: 2.878204803498428 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.013452623743265077, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.956173337988052, 'reg_alpha': 0.06575666900064824, 'reg_lambda': 0.43274506754835385}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8771805454710635 LGBM Regressor: 2.86052453513505 LGBM Regressor: 2.8604666459459995 LGBM Regressor: 2.8617523459090726 LGBM Regressor: 2.8619747693197954
[I 2022-11-03 02:25:01,268] Trial 250 finished with value: 2.86061402931864 and parameters: {'num_leaves': 12, 'max_depth': 11, 'learning_rate': 0.015312344943555446, 'n_estimators': 164, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9536595782826951, 'reg_alpha': 0.055247159168588536, 'reg_lambda': 0.4306306483300148}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8583518502832823 LGBM Regressor: 2.8353205890866464 LGBM Regressor: 2.832614203809089 LGBM Regressor: 2.836842149382246 LGBM Regressor: 2.8368828161064923
[I 2022-11-03 02:25:59,997] Trial 251 finished with value: 2.8348529910965454 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.010629626800929508, 'n_estimators': 2246, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.8917579525956915, 'reg_alpha': 0.08298206691707885, 'reg_lambda': 0.49360163928835055}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8326051970982538 LGBM Regressor: 2.8765320134678434 LGBM Regressor: 2.8764420769068524 LGBM Regressor: 2.8773850837287513 LGBM Regressor: 2.8782047090958502
[I 2022-11-03 02:26:02,473] Trial 252 finished with value: 2.876881990851183 and parameters: {'num_leaves': 12, 'max_depth': 12, 'learning_rate': 0.016174197848299703, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9358099722442542, 'reg_alpha': 0.06744881002594089, 'reg_lambda': 0.46897389250827975}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8758460710566176 LGBM Regressor: 2.8610957823799823 LGBM Regressor: 2.8605351823360556 LGBM Regressor: 2.8618179203652163 LGBM Regressor: 2.8628462178337046
[I 2022-11-03 02:26:10,430] Trial 253 finished with value: 2.861031090945025 and parameters: {'num_leaves': 18, 'max_depth': 12, 'learning_rate': 0.015931934291320168, 'n_estimators': 114, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9135128026891415, 'reg_alpha': 0.029173849147725195, 'reg_lambda': 0.4736886660365873}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.858860351810166 LGBM Regressor: 2.859886238052199 LGBM Regressor: 2.8597937189673655 LGBM Regressor: 2.861025217184257 LGBM Regressor: 2.8617179058124704
[I 2022-11-03 02:26:19,026] Trial 254 finished with value: 2.860062280184692 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.014611268792806826, 'n_estimators': 168, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9335365057171954, 'reg_alpha': 0.06952490484602197, 'reg_lambda': 0.44038664351150014}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8578883209071684 LGBM Regressor: 2.8673959403492018 LGBM Regressor: 2.8673286272305614 LGBM Regressor: 2.867973473814164 LGBM Regressor: 2.8688806511425966
[I 2022-11-03 02:26:23,119] Trial 255 finished with value: 2.8675488091492 and parameters: {'num_leaves': 15, 'max_depth': 13, 'learning_rate': 0.013215089046125658, 'n_estimators': 103, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9490948359380554, 'reg_alpha': 0.06165611566320723, 'reg_lambda': 0.4554254592246845}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8661653532094773 LGBM Regressor: 2.8378239430858256 LGBM Regressor: 2.835466518389107 LGBM Regressor: 2.8392878251473173 LGBM Regressor: 2.8398566298911367
[I 2022-11-03 02:26:57,468] Trial 256 finished with value: 2.8375118241918096 and parameters: {'num_leaves': 10, 'max_depth': 12, 'learning_rate': 0.018354912121364732, 'n_estimators': 1441, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.8695938244583292, 'reg_alpha': 0.09365809750284429, 'reg_lambda': 0.48170320932841093}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.83512420444566 LGBM Regressor: 2.8754983134812546 LGBM Regressor: 2.875743781756349 LGBM Regressor: 2.876653655395667 LGBM Regressor: 2.8772979097663196
[I 2022-11-03 02:26:59,868] Trial 257 finished with value: 2.876012711476347 and parameters: {'num_leaves': 13, 'max_depth': 9, 'learning_rate': 0.01656914168941083, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9237186731258282, 'reg_alpha': 0.04493108101753836, 'reg_lambda': 0.524447904486122}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8748698969821436 LGBM Regressor: 2.858256080748067 LGBM Regressor: 2.8573250866912923 LGBM Regressor: 2.8589659144783544 LGBM Regressor: 2.8594584738366042
[I 2022-11-03 02:27:08,726] Trial 258 finished with value: 2.858018770793572 and parameters: {'num_leaves': 21, 'max_depth': 4, 'learning_rate': 0.015384018705747092, 'n_estimators': 230, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9670216842107306, 'reg_alpha': 0.10866769261596412, 'reg_lambda': 0.43499881106566174}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.856088298213545 LGBM Regressor: 2.863476916396576 LGBM Regressor: 2.8632426915507914 LGBM Regressor: 2.8643436068509294 LGBM Regressor: 2.8648734826817557
[I 2022-11-03 02:27:14,190] Trial 259 finished with value: 2.8634325771459466 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.016107677501823302, 'n_estimators': 149, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9073137996029504, 'reg_alpha': 0.08417057983784011, 'reg_lambda': 0.4645223594633299}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.861226188249682 LGBM Regressor: 2.862612725707631 LGBM Regressor: 2.8625529457522516 LGBM Regressor: 2.8634312757761293 LGBM Regressor: 2.8641451601787282
[I 2022-11-03 02:27:18,439] Trial 260 finished with value: 2.862737203223557 and parameters: {'num_leaves': 15, 'max_depth': 13, 'learning_rate': 0.017354120634624687, 'n_estimators': 106, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9451371740736737, 'reg_alpha': 0.10434152383592173, 'reg_lambda': 0.8561135374904609}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.860943908703048 LGBM Regressor: 2.873660737831335 LGBM Regressor: 2.874234731167107 LGBM Regressor: 2.8746388814642283 LGBM Regressor: 2.87583874100535
[I 2022-11-03 02:27:21,225] Trial 261 finished with value: 2.8743197582456377 and parameters: {'num_leaves': 18, 'max_depth': 12, 'learning_rate': 0.014946269832841395, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9349232027717824, 'reg_alpha': 0.07292547224361845, 'reg_lambda': 0.41889934926940836}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.873225699760167 LGBM Regressor: 2.8409618783010333 LGBM Regressor: 2.840263556629491 LGBM Regressor: 2.8432400152673383 LGBM Regressor: 2.844007318456487
[I 2022-11-03 02:27:38,362] Trial 262 finished with value: 2.8416459495237865 and parameters: {'num_leaves': 47, 'max_depth': 10, 'learning_rate': 0.016625983291811624, 'n_estimators': 198, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9697579441733407, 'reg_alpha': 0.1098692674339421, 'reg_lambda': 0.49314092865642367}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8397569789645813 LGBM Regressor: 2.8752875471425567 LGBM Regressor: 2.8751523250264537 LGBM Regressor: 2.8762235540375767 LGBM Regressor: 2.877213404445508
[I 2022-11-03 02:27:41,374] Trial 263 finished with value: 2.8756847407059363 and parameters: {'num_leaves': 12, 'max_depth': 9, 'learning_rate': 0.01782146224094445, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 43, 'min_child_weight': 0.890345738254473, 'reg_alpha': 0.021833410785304964, 'reg_lambda': 0.4450394259858509}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8745468728775876 LGBM Regressor: 2.864793719276035 LGBM Regressor: 2.8644648624912468 LGBM Regressor: 2.8655048460890917 LGBM Regressor: 2.8661098870927195
[I 2022-11-03 02:27:48,378] Trial 264 finished with value: 2.8647170334504524 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01564690306569615, 'n_estimators': 140, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9463928010293019, 'reg_alpha': 0.05463960063419754, 'reg_lambda': 0.41050058321813443}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8627118523031694 LGBM Regressor: 2.865625117233265 LGBM Regressor: 2.8655451960359364 LGBM Regressor: 2.866130605536963 LGBM Regressor: 2.8672842026345187
[I 2022-11-03 02:27:55,307] Trial 265 finished with value: 2.8657283149862387 and parameters: {'num_leaves': 15, 'max_depth': 11, 'learning_rate': 0.014040670651500838, 'n_estimators': 109, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9973771066686082, 'reg_alpha': 0.09667160949825315, 'reg_lambda': 0.5834816948065746}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8640564534905106 LGBM Regressor: 2.8652875761887717 LGBM Regressor: 2.8651631625123923 LGBM Regressor: 2.8661332041783707 LGBM Regressor: 2.8668841450796743
[I 2022-11-03 02:28:00,210] Trial 266 finished with value: 2.8654536068631944 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.0162485514360658, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9214591377227328, 'reg_alpha': 0.1935285394053219, 'reg_lambda': 0.3355292312445122}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.863799946356766 LGBM Regressor: 2.8529965993751114 LGBM Regressor: 2.852144288114869 LGBM Regressor: 2.854144229161336 LGBM Regressor: 2.854578751917888
[I 2022-11-03 02:28:09,555] Trial 267 finished with value: 2.8528436804552793 and parameters: {'num_leaves': 18, 'max_depth': 11, 'learning_rate': 0.017055555138728536, 'n_estimators': 185, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9652726765161419, 'reg_alpha': 0.12004336987317918, 'reg_lambda': 0.4600611298098802}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.850354533707192 LGBM Regressor: 2.407062591179186 LGBM Regressor: 2.4070747331766786 LGBM Regressor: 2.408052339421445 LGBM Regressor: 2.4070347515993875
[I 2022-11-03 02:28:14,084] Trial 268 finished with value: 2.4069699763128307 and parameters: {'num_leaves': 12, 'max_depth': 9, 'learning_rate': 0.06989081778242213, 'n_estimators': 52, 'class_weight': None, 'min_child_samples': 6, 'min_child_weight': 0.9525646036640018, 'reg_alpha': 0.07162482117395493, 'reg_lambda': 0.35606395941765556}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.4056254661874577 LGBM Regressor: 2.858358229519143 LGBM Regressor: 2.85767608454597 LGBM Regressor: 2.8595659459145013 LGBM Regressor: 2.859908093693876
[I 2022-11-03 02:28:24,291] Trial 269 finished with value: 2.858245605320561 and parameters: {'num_leaves': 10, 'max_depth': 12, 'learning_rate': 0.01494158217395648, 'n_estimators': 238, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9795116612996337, 'reg_alpha': 0.12011586173941566, 'reg_lambda': 0.43140246840023116}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8557196729293146 LGBM Regressor: 2.861705418309775 LGBM Regressor: 2.8618094373601646 LGBM Regressor: 2.8624985808910233 LGBM Regressor: 2.863631340438229
[I 2022-11-03 02:28:29,522] Trial 270 finished with value: 2.8619507870371286 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.018186284236189475, 'n_estimators': 106, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.898710331904564, 'reg_alpha': 0.09412933948792852, 'reg_lambda': 0.5091215015092484}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8601091581864524 LGBM Regressor: 2.8590695595033475 LGBM Regressor: 2.858969580598596 LGBM Regressor: 2.860160906026837 LGBM Regressor: 2.8605946377305176
[I 2022-11-03 02:28:37,928] Trial 271 finished with value: 2.859153444909473 and parameters: {'num_leaves': 13, 'max_depth': 11, 'learning_rate': 0.015700515418095876, 'n_estimators': 166, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9221202722064642, 'reg_alpha': 0.14721694968420793, 'reg_lambda': 0.40115947543215064}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.856972540688064 LGBM Regressor: 2.869593354605808 LGBM Regressor: 2.8699488806373386 LGBM Regressor: 2.8708478694285677 LGBM Regressor: 2.8716822873534014
[I 2022-11-03 02:28:40,798] Trial 272 finished with value: 2.8701366140288416 and parameters: {'num_leaves': 20, 'max_depth': 9, 'learning_rate': 0.01942072394060623, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.0404679419268566, 'reg_alpha': 0.17491869820833514, 'reg_lambda': 0.3735199594103302}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8686106781190928 LGBM Regressor: 2.8633318713901503 LGBM Regressor: 2.8630034460013825 LGBM Regressor: 2.8641326510282883 LGBM Regressor: 2.864638046530808
[I 2022-11-03 02:28:45,219] Trial 273 finished with value: 2.8632350222723586 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.017135035587752322, 'n_estimators': 142, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9424614369096896, 'reg_alpha': 0.12082120553614739, 'reg_lambda': 0.475574975836303}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.861069096411163 LGBM Regressor: 2.86520687707789 LGBM Regressor: 2.8651496314865352 LGBM Regressor: 2.8658053620576416 LGBM Regressor: 2.8667306548631375
[I 2022-11-03 02:28:49,773] Trial 274 finished with value: 2.8653057226525176 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.01446657900452758, 'n_estimators': 108, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9760951419547051, 'reg_alpha': 0.0764849674072557, 'reg_lambda': 0.4416988827385209}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.863636087777385 LGBM Regressor: 2.8555322930783977 LGBM Regressor: 2.8547556525600672 LGBM Regressor: 2.8564319336004718 LGBM Regressor: 2.8568851393924586
[I 2022-11-03 02:29:01,935] Trial 275 finished with value: 2.855315417548881 and parameters: {'num_leaves': 17, 'max_depth': 11, 'learning_rate': 0.013359634692136557, 'n_estimators': 207, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.9992354996809505, 'reg_alpha': 0.15099654957498027, 'reg_lambda': 0.41657342786064344}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8529720691130094 LGBM Regressor: 2.8663222757088955 LGBM Regressor: 2.866141333533217 LGBM Regressor: 2.8671570424601436 LGBM Regressor: 2.8679288481668195
[I 2022-11-03 02:29:06,115] Trial 276 finished with value: 2.866420434829347 and parameters: {'num_leaves': 12, 'max_depth': 9, 'learning_rate': 0.016071041785033054, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.8756132657294857, 'reg_alpha': 0.047400170149049944, 'reg_lambda': 0.5606663452340043}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.864552674277659 LGBM Regressor: 2.878886341835288 LGBM Regressor: 2.878669755147355 LGBM Regressor: 2.87941504316936 LGBM Regressor: 2.8801411372481307
[I 2022-11-03 02:29:08,704] Trial 277 finished with value: 2.8789528562677926 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.015161512782808185, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9584162023587324, 'reg_alpha': 0.10656344246315444, 'reg_lambda': 0.46032634833942576}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8776520039388296 LGBM Regressor: 2.8653014702806963 LGBM Regressor: 2.865213213560517 LGBM Regressor: 2.866086180393916 LGBM Regressor: 2.8667150182217385
[I 2022-11-03 02:29:16,006] Trial 278 finished with value: 2.8653915157212917 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.011063166012475397, 'n_estimators': 155, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9298244201552303, 'reg_alpha': 0.09604765379831254, 'reg_lambda': 0.5353757833411498}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.863641696149592 LGBM Regressor: 2.8750347655345805 LGBM Regressor: 2.8753871146296626 LGBM Regressor: 2.8759192495914636 LGBM Regressor: 2.8769594661187896
[I 2022-11-03 02:29:19,432] Trial 279 finished with value: 2.8756012893518164 and parameters: {'num_leaves': 16, 'max_depth': 12, 'learning_rate': 0.015156921596760119, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9534488905778559, 'reg_alpha': 0.08519235448530316, 'reg_lambda': 0.4882190024363948}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8747058508845864 LGBM Regressor: 2.8502411759674158 LGBM Regressor: 2.8478469754367612 LGBM Regressor: 2.8500830626051754 LGBM Regressor: 2.850617699477519
[I 2022-11-03 02:29:23,154] Trial 280 finished with value: 2.8490793075898404 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.08883059564388586, 'n_estimators': 96, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9014566648660606, 'reg_alpha': 0.11137394500004258, 'reg_lambda': 0.3914210349117861}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8466076244623313 LGBM Regressor: 2.794693034597884 LGBM Regressor: 2.7889001476097413 LGBM Regressor: 2.7979874266249563 LGBM Regressor: 2.7961020239868644
[I 2022-11-03 02:33:04,495] Trial 281 finished with value: 2.795145163182379 and parameters: {'num_leaves': 123, 'max_depth': 10, 'learning_rate': 0.01444777793259192, 'n_estimators': 2776, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9750163390064815, 'reg_alpha': 0.8640206155558798, 'reg_lambda': 0.46406712111468146}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.798043183092448 LGBM Regressor: 2.861573647393968 LGBM Regressor: 2.8614730568274678 LGBM Regressor: 2.8626868083661416 LGBM Regressor: 2.863124617528542
[I 2022-11-03 02:33:13,280] Trial 282 finished with value: 2.8616818037794447 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.013734030190846305, 'n_estimators': 160, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9381481737971618, 'reg_alpha': 0.06417999566932155, 'reg_lambda': 0.3574671983142187}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.859550888781106 LGBM Regressor: 2.8366367790906035 LGBM Regressor: 2.8348209758899143 LGBM Regressor: 2.8380158206622794 LGBM Regressor: 2.8384378207957432
[I 2022-11-03 02:33:46,325] Trial 283 finished with value: 2.8365698351398905 and parameters: {'num_leaves': 18, 'max_depth': 9, 'learning_rate': 0.015380554414198309, 'n_estimators': 981, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9573735919640034, 'reg_alpha': 0.13596758098842715, 'reg_lambda': 0.4286350117008899}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.834937779260912 LGBM Regressor: 2.857255136721456 LGBM Regressor: 2.856240992387367 LGBM Regressor: 2.8584568997748425 LGBM Regressor: 2.858558084044765
[I 2022-11-03 02:33:56,358] Trial 284 finished with value: 2.856987498178171 and parameters: {'num_leaves': 10, 'max_depth': 11, 'learning_rate': 0.016310463318069537, 'n_estimators': 242, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.8532372233168364, 'reg_alpha': 0.1663909090234419, 'reg_lambda': 0.32914729216505434}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.8544263779624246 LGBM Regressor: 2.862079213546746 LGBM Regressor: 2.8618482277434762 LGBM Regressor: 2.862751652320011 LGBM Regressor: 2.86368901511598
[I 2022-11-03 02:34:02,512] Trial 285 finished with value: 2.8621027840383158 and parameters: {'num_leaves': 14, 'max_depth': 10, 'learning_rate': 0.017832956853528238, 'n_estimators': 112, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.910252218682325, 'reg_alpha': 0.09645073640190396, 'reg_lambda': 0.418004121941227}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.860145811465366 LGBM Regressor: 2.864687112159706 LGBM Regressor: 2.8645113212788877 LGBM Regressor: 2.8653644315583735 LGBM Regressor: 2.8661833212557086
[I 2022-11-03 02:34:09,849] Trial 286 finished with value: 2.864777559445101 and parameters: {'num_leaves': 15, 'max_depth': 9, 'learning_rate': 0.014729319009026657, 'n_estimators': 110, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9808006787387178, 'reg_alpha': 0.03730054100671582, 'reg_lambda': 0.37306570351961543}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.86314161097283 LGBM Regressor: 2.398186447025466 LGBM Regressor: 2.397083471980271 LGBM Regressor: 2.3988840721909246 LGBM Regressor: 2.397800725333151
[I 2022-11-03 02:34:37,124] Trial 287 finished with value: 2.3975428280226216 and parameters: {'num_leaves': 22, 'max_depth': 11, 'learning_rate': 0.015754104861375233, 'n_estimators': 639, 'class_weight': None, 'min_child_samples': 11, 'min_child_weight': 0.9323537145351932, 'reg_alpha': 0.797652599642853, 'reg_lambda': 0.4002656903815974}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.3957594235832964 LGBM Regressor: 2.859074832177499 LGBM Regressor: 2.858648378228601 LGBM Regressor: 2.8600591421376045 LGBM Regressor: 2.860432397010935
[I 2022-11-03 02:34:47,005] Trial 288 finished with value: 2.858978798763112 and parameters: {'num_leaves': 12, 'max_depth': 10, 'learning_rate': 0.016746450718496248, 'n_estimators': 169, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9628688157375906, 'reg_alpha': 0.11548094117309698, 'reg_lambda': 0.45190564663969224}. Best is trial 154 with value: 2.8799734317829677.
LGBM Regressor: 2.85667924426092 LGBM Regressor: 2.882590105761916 LGBM Regressor: 2.8826659084003525 LGBM Regressor: 2.8831649022390353 LGBM Regressor: 2.88398444943393
[I 2022-11-03 02:34:49,779] Trial 289 finished with value: 2.882855981314943 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.010392675294309105, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9202124909186157, 'reg_alpha': 0.14398227580953404, 'reg_lambda': 0.4747802573882035}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.881874540739481 LGBM Regressor: 2.8726243349899048 LGBM Regressor: 2.8723789442280028 LGBM Regressor: 2.873392018778499 LGBM Regressor: 2.874480325704289
[I 2022-11-03 02:34:55,583] Trial 290 finished with value: 2.8728686203697276 and parameters: {'num_leaves': 12, 'max_depth': 9, 'learning_rate': 0.010459246189384288, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.8820138614548005, 'reg_alpha': 0.15357991288879133, 'reg_lambda': 0.5055296860756785}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.871467478147942 LGBM Regressor: 2.847049603427995 LGBM Regressor: 2.8446567861120826 LGBM Regressor: 2.847566950028425 LGBM Regressor: 2.848096464795251
[I 2022-11-03 02:35:30,002] Trial 291 finished with value: 2.846264098116697 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01015099918081141, 'n_estimators': 1170, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9984765947349505, 'reg_alpha': 0.07457484809312791, 'reg_lambda': 0.4759940460771293}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.843950686219732 LGBM Regressor: 2.8822529441953164 LGBM Regressor: 2.8823639521027733 LGBM Regressor: 2.882877834034313 LGBM Regressor: 2.8837640899891426
[I 2022-11-03 02:35:32,394] Trial 292 finished with value: 2.8825577241479605 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.010504223540137698, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.919280392573964, 'reg_alpha': 0.1792959364807924, 'reg_lambda': 0.48929595599832904}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8815298004182566 LGBM Regressor: 2.8427844300672427 LGBM Regressor: 2.840119388375779 LGBM Regressor: 2.844145071378468 LGBM Regressor: 2.8443542037826206
[I 2022-11-03 02:36:14,904] Trial 293 finished with value: 2.842290503881401 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.010659543184053277, 'n_estimators': 1649, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.9069702835495125, 'reg_alpha': 0.18596950214181374, 'reg_lambda': 0.5087287814647996}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8400494258028934 LGBM Regressor: 2.860560546680522 LGBM Regressor: 2.860401428746781 LGBM Regressor: 2.861258588216498 LGBM Regressor: 2.8623225287129337
[I 2022-11-03 02:36:24,399] Trial 294 finished with value: 2.86065253666499 and parameters: {'num_leaves': 16, 'max_depth': 9, 'learning_rate': 0.011201350218535156, 'n_estimators': 180, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9240709660108265, 'reg_alpha': 0.1681341787179803, 'reg_lambda': 0.4869062553761777}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8587195909682155 LGBM Regressor: 2.861819564094099 LGBM Regressor: 2.8614248887789415 LGBM Regressor: 2.8626728303612374 LGBM Regressor: 2.8633290942602723
[I 2022-11-03 02:36:37,478] Trial 295 finished with value: 2.8617513992571046 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.010065434442381288, 'n_estimators': 270, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.8950611487410443, 'reg_alpha': 0.1824759390510017, 'reg_lambda': 0.5220321687518314}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.859510618790974 LGBM Regressor: 2.8700345158104885 LGBM Regressor: 2.869974869206423 LGBM Regressor: 2.8707919934964328 LGBM Regressor: 2.8715814643507636
[I 2022-11-03 02:36:44,039] Trial 296 finished with value: 2.870289370374591 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.01004771174634809, 'n_estimators': 113, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9153811700511352, 'reg_alpha': 0.2027514977838677, 'reg_lambda': 0.46772919904835825}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.869064009008848 LGBM Regressor: 2.8777969866657016 LGBM Regressor: 2.878265447068066 LGBM Regressor: 2.8785639910182406 LGBM Regressor: 2.879180363513521
[I 2022-11-03 02:36:47,010] Trial 297 finished with value: 2.8782190598304287 and parameters: {'num_leaves': 19, 'max_depth': 9, 'learning_rate': 0.010863740204445357, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9515880362867797, 'reg_alpha': 0.05721535412882879, 'reg_lambda': 0.4891355639532527}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8772885108866144 LGBM Regressor: 2.8460573830040965 LGBM Regressor: 2.845740457906497 LGBM Regressor: 2.848466242980793 LGBM Regressor: 2.849302903172179
[I 2022-11-03 02:37:07,219] Trial 298 finished with value: 2.846779642303204 and parameters: {'num_leaves': 61, 'max_depth': 9, 'learning_rate': 0.010757874987986416, 'n_estimators': 202, 'class_weight': 'balanced', 'min_child_samples': 5, 'min_child_weight': 0.978740343882065, 'reg_alpha': 0.008770797864814217, 'reg_lambda': 0.4938685948266762}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8443312244524557 LGBM Regressor: 2.861787384252493 LGBM Regressor: 2.8618416031672402 LGBM Regressor: 2.8629072018864963 LGBM Regressor: 2.8641440423689035
[I 2022-11-03 02:37:16,116] Trial 299 finished with value: 2.862181945434621 and parameters: {'num_leaves': 20, 'max_depth': 9, 'learning_rate': 0.010941835459472152, 'n_estimators': 145, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.951907389284891, 'reg_alpha': 0.09975293762447315, 'reg_lambda': 0.49386793948102886}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8602294954979715 LGBM Regressor: 2.868503249284802 LGBM Regressor: 2.86829823464785 LGBM Regressor: 2.869139591386045 LGBM Regressor: 2.8702650220894657
[I 2022-11-03 02:37:23,795] Trial 300 finished with value: 2.8686806481383047 and parameters: {'num_leaves': 18, 'max_depth': 9, 'learning_rate': 0.010685754492658916, 'n_estimators': 106, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9701075672760986, 'reg_alpha': 0.1530878096688983, 'reg_lambda': 0.5290002323376991}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8671971432833616 LGBM Regressor: 2.874743724364704 LGBM Regressor: 2.8754462835095276 LGBM Regressor: 2.8758653200081965 LGBM Regressor: 2.876651316384263
[I 2022-11-03 02:37:28,111] Trial 301 finished with value: 2.875376883131845 and parameters: {'num_leaves': 22, 'max_depth': 10, 'learning_rate': 0.01202452511106355, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.8764549697177757, 'reg_alpha': 0.0484503803145576, 'reg_lambda': 0.4475017472688856}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.874177771392536 LGBM Regressor: 2.8789195674688246 LGBM Regressor: 2.879456587309913 LGBM Regressor: 2.8797457147022634 LGBM Regressor: 2.880579947049265
[I 2022-11-03 02:37:31,175] Trial 302 finished with value: 2.8794943167990423 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.011299847521342422, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9499122771200235, 'reg_alpha': 0.1319191175708824, 'reg_lambda': 0.34394494150800664}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.878769767464945 LGBM Regressor: 2.8627459587032904 LGBM Regressor: 2.8624786781769553 LGBM Regressor: 2.863519876422135 LGBM Regressor: 2.864726165642884
[I 2022-11-03 02:37:40,566] Trial 303 finished with value: 2.8629024271776053 and parameters: {'num_leaves': 19, 'max_depth': 9, 'learning_rate': 0.011089240314813705, 'n_estimators': 141, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9163953266090561, 'reg_alpha': 0.11532184740220891, 'reg_lambda': 0.31930269661060784}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.861041456942763 LGBM Regressor: 2.8584348496231726 LGBM Regressor: 2.8579631482572214 LGBM Regressor: 2.859163008658605 LGBM Regressor: 2.860061176957191
[I 2022-11-03 02:37:53,097] Trial 304 finished with value: 2.8583246841021817 and parameters: {'num_leaves': 16, 'max_depth': 10, 'learning_rate': 0.011611634300239582, 'n_estimators': 203, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.9409547635792214, 'reg_alpha': 0.08227975313675398, 'reg_lambda': 0.3393750349956548}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8560012370147176 LGBM Regressor: 2.868085246488599 LGBM Regressor: 2.8682822256433598 LGBM Regressor: 2.868849696722458 LGBM Regressor: 2.8699764530256155
[I 2022-11-03 02:37:58,810] Trial 305 finished with value: 2.8684476150212097 and parameters: {'num_leaves': 14, 'max_depth': 10, 'learning_rate': 0.011464887680675051, 'n_estimators': 117, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9475400883527103, 'reg_alpha': 0.13760618537715613, 'reg_lambda': 0.9510139576920478}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8670444532260175 LGBM Regressor: 2.419941875916479 LGBM Regressor: 2.419997462522029 LGBM Regressor: 2.420145755582284 LGBM Regressor: 2.419715719764765
[I 2022-11-03 02:38:03,986] Trial 306 finished with value: 2.4198364040893714 and parameters: {'num_leaves': 10, 'max_depth': 9, 'learning_rate': 0.010470476079969525, 'n_estimators': 95, 'class_weight': None, 'min_child_samples': 7, 'min_child_weight': 0.8976511978438887, 'reg_alpha': 0.1005520554921713, 'reg_lambda': 0.34670799111721684}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.4193812066613 LGBM Regressor: 2.850738285874461 LGBM Regressor: 2.8512402089321074 LGBM Regressor: 2.852793669089873 LGBM Regressor: 2.8535693978983305
[I 2022-11-03 02:38:21,374] Trial 307 finished with value: 2.851571131895967 and parameters: {'num_leaves': 54, 'max_depth': 10, 'learning_rate': 0.010980388966356143, 'n_estimators': 155, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9190121997104872, 'reg_alpha': 0.12465890563557729, 'reg_lambda': 0.3704357989390686}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.849514097685065 LGBM Regressor: 2.824402416240569 LGBM Regressor: 2.823368892119841 LGBM Regressor: 2.8268054369566555 LGBM Regressor: 2.8278105725041236
[I 2022-11-03 02:39:47,618] Trial 308 finished with value: 2.8254704345936696 and parameters: {'num_leaves': 24, 'max_depth': 10, 'learning_rate': 0.010316102947039484, 'n_estimators': 2549, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.8555292460714317, 'reg_alpha': 0.05686413824717469, 'reg_lambda': 0.30706176338972824}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.824964855147158 LGBM Regressor: 2.877541636252911 LGBM Regressor: 2.877995425419409 LGBM Regressor: 2.878330361653642 LGBM Regressor: 2.8789719903012156
[I 2022-11-03 02:39:50,656] Trial 309 finished with value: 2.877984163856726 and parameters: {'num_leaves': 18, 'max_depth': 9, 'learning_rate': 0.01133158160596636, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9598262893880835, 'reg_alpha': 0.03217708670656503, 'reg_lambda': 0.44184637154835793}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.877081405656453 LGBM Regressor: 2.8758653031172403 LGBM Regressor: 2.8764664914624456 LGBM Regressor: 2.8768465881629592 LGBM Regressor: 2.877502670651017
[I 2022-11-03 02:39:53,679] Trial 310 finished with value: 2.876407619334333 and parameters: {'num_leaves': 20, 'max_depth': 9, 'learning_rate': 0.012034123995616772, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9418454281724353, 'reg_alpha': 0.021027307227693158, 'reg_lambda': 0.35250347491993267}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.875357043278004 LGBM Regressor: 2.8573524960376253 LGBM Regressor: 2.856699081415176 LGBM Regressor: 2.858361753638461 LGBM Regressor: 2.85917305133048
[I 2022-11-03 02:40:05,910] Trial 311 finished with value: 2.857312281512083 and parameters: {'num_leaves': 18, 'max_depth': 9, 'learning_rate': 0.011136266824686335, 'n_estimators': 208, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9598002710409166, 'reg_alpha': 0.0033522277580925325, 'reg_lambda': 0.38510198472464197}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8549750251386734 LGBM Regressor: 2.864853166925433 LGBM Regressor: 2.8658737363221367 LGBM Regressor: 2.8664325357728924 LGBM Regressor: 2.8676395562286916
[I 2022-11-03 02:40:14,095] Trial 312 finished with value: 2.8657846048741327 and parameters: {'num_leaves': 24, 'max_depth': 8, 'learning_rate': 0.01141598667769754, 'n_estimators': 102, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9257450838641165, 'reg_alpha': 0.041616767573596704, 'reg_lambda': 0.4369119044611861}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.86412402912151 LGBM Regressor: 2.839025505505515 LGBM Regressor: 2.83657670323018 LGBM Regressor: 2.8397183156053223 LGBM Regressor: 2.8408367743929905
[I 2022-11-03 02:40:54,733] Trial 313 finished with value: 2.8386179004610606 and parameters: {'num_leaves': 15, 'max_depth': 9, 'learning_rate': 0.011877479930691598, 'n_estimators': 1274, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.8857071085392553, 'reg_alpha': 0.17258270701258416, 'reg_lambda': 0.46227524467798103}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8369322035712936 LGBM Regressor: 2.8552369101647708 LGBM Regressor: 2.8544928300956256 LGBM Regressor: 2.856108213205807 LGBM Regressor: 2.8566707651379453
[I 2022-11-03 02:41:09,024] Trial 314 finished with value: 2.8549785249999156 and parameters: {'num_leaves': 17, 'max_depth': 10, 'learning_rate': 0.010491057320294428, 'n_estimators': 272, 'class_weight': 'balanced', 'min_child_samples': 5, 'min_child_weight': 0.9447690559816392, 'reg_alpha': 0.030815980593587693, 'reg_lambda': 0.4150400099040068}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8523839063954295 LGBM Regressor: 2.877720621954094 LGBM Regressor: 2.8781308379681483 LGBM Regressor: 2.878787585488225 LGBM Regressor: 2.8795775970259028
[I 2022-11-03 02:41:12,685] Trial 315 finished with value: 2.8783404248164777 and parameters: {'num_leaves': 14, 'max_depth': 9, 'learning_rate': 0.012930488760690185, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.9128805004243573, 'reg_alpha': 0.19937645713483376, 'reg_lambda': 0.47339574371675053}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.877485481646018 LGBM Regressor: 2.8202300385230656 LGBM Regressor: 2.8186619792818957 LGBM Regressor: 2.822989052645116 LGBM Regressor: 2.824808786677688
[I 2022-11-03 02:42:46,176] Trial 316 finished with value: 2.8215247794354408 and parameters: {'num_leaves': 22, 'max_depth': 9, 'learning_rate': 0.013092807617061471, 'n_estimators': 2968, 'class_weight': 'balanced', 'min_child_samples': 5, 'min_child_weight': 0.9140574237303393, 'reg_alpha': 0.18355288000218323, 'reg_lambda': 0.4796698201594235}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.820934040049439 LGBM Regressor: 2.859271807126813 LGBM Regressor: 2.858812836365357 LGBM Regressor: 2.8603043829630663 LGBM Regressor: 2.8614017844672848
[I 2022-11-03 02:42:55,685] Trial 317 finished with value: 2.859379859075244 and parameters: {'num_leaves': 19, 'max_depth': 9, 'learning_rate': 0.012465228477156599, 'n_estimators': 156, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.8986186746310012, 'reg_alpha': 0.15488724600545367, 'reg_lambda': 0.4594332918715539}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.857108484453699 LGBM Regressor: 2.8672775119571843 LGBM Regressor: 2.867194789291706 LGBM Regressor: 2.8677617592403375 LGBM Regressor: 2.8688790634265877
[I 2022-11-03 02:43:01,731] Trial 318 finished with value: 2.8674114723070714 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.013337853481346735, 'n_estimators': 103, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9644518934141125, 'reg_alpha': 0.19938925068080876, 'reg_lambda': 0.5041038132300815}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8659442376195425 LGBM Regressor: 2.8706838628101834 LGBM Regressor: 2.871040413994873 LGBM Regressor: 2.8711686802758756 LGBM Regressor: 2.8723407386465065
[I 2022-11-03 02:43:10,805] Trial 319 finished with value: 2.8709407490723304 and parameters: {'num_leaves': 140, 'max_depth': 8, 'learning_rate': 0.01061198057135246, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.8636891285177616, 'reg_alpha': 0.19951782515652067, 'reg_lambda': 0.4865564548308768}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8694700496342125 LGBM Regressor: 2.864558751974096 LGBM Regressor: 2.864647368407568 LGBM Regressor: 2.865363208557142 LGBM Regressor: 2.8660246882716653
[I 2022-11-03 02:43:20,355] Trial 320 finished with value: 2.8647321406653328 and parameters: {'num_leaves': 13, 'max_depth': 9, 'learning_rate': 0.011213216115172045, 'n_estimators': 160, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.19201870529574105, 'reg_alpha': 0.072534519902357, 'reg_lambda': 0.4557513646629995}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8630666861161913 LGBM Regressor: 2.8719331054460087 LGBM Regressor: 2.871701666029925 LGBM Regressor: 2.872280258702883 LGBM Regressor: 2.8735247041519525
[I 2022-11-03 02:43:26,763] Trial 321 finished with value: 2.8719282180187387 and parameters: {'num_leaves': 17, 'max_depth': 5, 'learning_rate': 0.010023086393022686, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9304067230977539, 'reg_alpha': 0.16518422653566114, 'reg_lambda': 0.43508676604355007}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.870201355762925 LGBM Regressor: 2.8776371822958384 LGBM Regressor: 2.878222946557114 LGBM Regressor: 2.878690960315237 LGBM Regressor: 2.879549672557978
[I 2022-11-03 02:43:30,013] Trial 322 finished with value: 2.8783107099335856 and parameters: {'num_leaves': 14, 'max_depth': 9, 'learning_rate': 0.012965000628434595, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9582438569418141, 'reg_alpha': 0.055771998703674816, 'reg_lambda': 0.32686828276633256}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.877452787941762 LGBM Regressor: 2.8222793203802854 LGBM Regressor: 2.821715614404749 LGBM Regressor: 2.826047231480518 LGBM Regressor: 2.8275974638532464
[I 2022-11-03 02:44:25,512] Trial 323 finished with value: 2.8242374010649853 and parameters: {'num_leaves': 72, 'max_depth': 9, 'learning_rate': 0.012647306581006244, 'n_estimators': 756, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9122546254499597, 'reg_alpha': 0.02989036093716541, 'reg_lambda': 0.32658509607555775}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.823547375206129 LGBM Regressor: 2.853132427719304 LGBM Regressor: 2.8526859470973314 LGBM Regressor: 2.855015788961123 LGBM Regressor: 2.8552693410568812
[I 2022-11-03 02:44:38,639] Trial 324 finished with value: 2.8533647716192965 and parameters: {'num_leaves': 21, 'max_depth': 9, 'learning_rate': 0.012224506801237763, 'n_estimators': 221, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9506460191930232, 'reg_alpha': 0.04822636752346063, 'reg_lambda': 0.34270175689433136}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.85072035326184 LGBM Regressor: 2.864952028170849 LGBM Regressor: 2.864833500540916 LGBM Regressor: 2.865412310064787 LGBM Regressor: 2.8664519901741494
[I 2022-11-03 02:44:46,100] Trial 325 finished with value: 2.8649921477546503 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.013670697621299717, 'n_estimators': 117, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.8348563584771282, 'reg_alpha': 0.06199180984445926, 'reg_lambda': 0.30152431171437427}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8633109098225504 LGBM Regressor: 2.8615030614600916 LGBM Regressor: 2.8614558059720627 LGBM Regressor: 2.8624763520221337 LGBM Regressor: 2.8630577754781297
[I 2022-11-03 02:44:55,278] Trial 326 finished with value: 2.8616173404553225 and parameters: {'num_leaves': 13, 'max_depth': 8, 'learning_rate': 0.012968119389545271, 'n_estimators': 170, 'class_weight': 'balanced', 'min_child_samples': 4, 'min_child_weight': 0.884916522969489, 'reg_alpha': 0.0831710561498896, 'reg_lambda': 0.31541110396517535}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8595937073441964 LGBM Regressor: 2.4211579338018474 LGBM Regressor: 2.4210835680380622 LGBM Regressor: 2.4214016719894857 LGBM Regressor: 2.4211188903369054
[I 2022-11-03 02:44:59,034] Trial 327 finished with value: 2.4211098491834546 and parameters: {'num_leaves': 18, 'max_depth': 9, 'learning_rate': 0.011470237921833413, 'n_estimators': 50, 'class_weight': None, 'min_child_samples': 7, 'min_child_weight': 0.9320455143815609, 'reg_alpha': 0.056866827412092216, 'reg_lambda': 0.4833445053266472}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.4207871817509736 LGBM Regressor: 2.8718930664437936 LGBM Regressor: 2.8716690992997775 LGBM Regressor: 2.872546341054285 LGBM Regressor: 2.873177378698595
[I 2022-11-03 02:45:05,627] Trial 328 finished with value: 2.871927228604279 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.011938245618501148, 'n_estimators': 113, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9600692032989865, 'reg_alpha': 0.10574972930341753, 'reg_lambda': 0.3543728670242498}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.870350257524943 LGBM Regressor: 2.864511069584489 LGBM Regressor: 2.8654319317100336 LGBM Regressor: 2.8659260128676896 LGBM Regressor: 2.8669518805548466
[I 2022-11-03 02:45:14,256] Trial 329 finished with value: 2.865258773607748 and parameters: {'num_leaves': 27, 'max_depth': 9, 'learning_rate': 0.010761518170222813, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9045569680714182, 'reg_alpha': 0.038800244720930535, 'reg_lambda': 0.5156812768877939}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8634729733216813 LGBM Regressor: 2.8617558313282934 LGBM Regressor: 2.8616329660487 LGBM Regressor: 2.8628338612433493 LGBM Regressor: 2.8633894644075055
[I 2022-11-03 02:45:23,853] Trial 330 finished with value: 2.86190607740068 and parameters: {'num_leaves': 13, 'max_depth': 9, 'learning_rate': 0.013010953860227227, 'n_estimators': 166, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9275462913279333, 'reg_alpha': 0.08452716891756314, 'reg_lambda': 0.4690270501711477}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8599182639755525 LGBM Regressor: 2.853808043006977 LGBM Regressor: 2.853246508859756 LGBM Regressor: 2.8551979654176214 LGBM Regressor: 2.855352805219774
[I 2022-11-03 02:45:37,725] Trial 331 finished with value: 2.853764262428015 and parameters: {'num_leaves': 16, 'max_depth': 10, 'learning_rate': 0.013788278917985376, 'n_estimators': 236, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9487299983671641, 'reg_alpha': 0.02436454058490701, 'reg_lambda': 0.3285509629384595}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8512159896359464 LGBM Regressor: 2.875090750143741 LGBM Regressor: 2.8750348265495203 LGBM Regressor: 2.876181665713705 LGBM Regressor: 2.8769104437024975
[I 2022-11-03 02:45:41,952] Trial 332 finished with value: 2.8754335559401136 and parameters: {'num_leaves': 10, 'max_depth': 10, 'learning_rate': 0.01095733416602528, 'n_estimators': 95, 'class_weight': 'balanced', 'min_child_samples': 5, 'min_child_weight': 0.9783065935307702, 'reg_alpha': 0.1093742517904801, 'reg_lambda': 0.36846207548913323}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8739500935911027 LGBM Regressor: 2.835485718241977 LGBM Regressor: 2.833259854349298 LGBM Regressor: 2.837571322809787 LGBM Regressor: 2.8376040741336066
[I 2022-11-03 02:46:40,853] Trial 333 finished with value: 2.8354100511631026 and parameters: {'num_leaves': 13, 'max_depth': 8, 'learning_rate': 0.01155478023976658, 'n_estimators': 2038, 'class_weight': 'balanced', 'min_child_samples': 6, 'min_child_weight': 0.9636399948784213, 'reg_alpha': 0.05778058620640823, 'reg_lambda': 0.4418971712633782}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8331292862808453 LGBM Regressor: 2.873616765830732 LGBM Regressor: 2.8742559846154654 LGBM Regressor: 2.874907662130915 LGBM Regressor: 2.8757511906761826
[I 2022-11-03 02:46:44,226] Trial 334 finished with value: 2.87435193513657 and parameters: {'num_leaves': 20, 'max_depth': 9, 'learning_rate': 0.0141089555504519, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 8, 'min_child_weight': 0.9102375988648411, 'reg_alpha': 0.9210469490623554, 'reg_lambda': 0.4712357856022276}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8732280724295545 LGBM Regressor: 2.861622806812907 LGBM Regressor: 2.861536223840817 LGBM Regressor: 2.862396574665756 LGBM Regressor: 2.8632325297109666
[I 2022-11-03 02:46:52,538] Trial 335 finished with value: 2.8617044702450287 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.012751279961850378, 'n_estimators': 154, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.1444293949953076, 'reg_alpha': 0.14156109959009186, 'reg_lambda': 0.6839360163701511}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8597342161946973 LGBM Regressor: 2.875782062931164 LGBM Regressor: 2.876231582833608 LGBM Regressor: 2.8770081414333992 LGBM Regressor: 2.8780087722423704
[I 2022-11-03 02:46:57,538] Trial 336 finished with value: 2.8764435319821198 and parameters: {'num_leaves': 10, 'max_depth': 4, 'learning_rate': 0.010579723018676627, 'n_estimators': 100, 'class_weight': 'balanced', 'min_child_samples': 7, 'min_child_weight': 0.9995977257055574, 'reg_alpha': 0.11997143637732288, 'reg_lambda': 0.4421543234530822}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.875187100470058 LGBM Regressor: 2.860641280715774 LGBM Regressor: 2.860477359191022 LGBM Regressor: 2.861779792198177 LGBM Regressor: 2.8622849464797557
[I 2022-11-03 02:47:07,307] Trial 337 finished with value: 2.8607583686313163 and parameters: {'num_leaves': 13, 'max_depth': 9, 'learning_rate': 0.011908424808167567, 'n_estimators': 196, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9403090928254214, 'reg_alpha': 0.0909587826198463, 'reg_lambda': 0.28606434134582553}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8586084645718515 LGBM Regressor: 2.8686477194366837 LGBM Regressor: 2.868201123624807 LGBM Regressor: 2.86901417477485 LGBM Regressor: 2.870240343481643
[I 2022-11-03 02:47:13,697] Trial 338 finished with value: 2.8686563931678934 and parameters: {'num_leaves': 17, 'max_depth': 10, 'learning_rate': 0.011255207330134572, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.8794588033246413, 'reg_alpha': 0.18027210931037527, 'reg_lambda': 0.38286001260645036}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8671786045214804 LGBM Regressor: 2.878164104163371 LGBM Regressor: 2.878549028726724 LGBM Regressor: 2.87898029562737 LGBM Regressor: 2.879851910868738
[I 2022-11-03 02:47:17,608] Trial 339 finished with value: 2.8786587474911824 and parameters: {'num_leaves': 13, 'max_depth': 10, 'learning_rate': 0.013418766655241953, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9285131861201558, 'reg_alpha': 0.07476549231962701, 'reg_lambda': 0.503498399961255}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.877748398069709 LGBM Regressor: 2.8597971653629166 LGBM Regressor: 2.859440979632434 LGBM Regressor: 2.8608401383607682 LGBM Regressor: 2.861879764881887
[I 2022-11-03 02:47:26,071] Trial 340 finished with value: 2.859904083992302 and parameters: {'num_leaves': 19, 'max_depth': 10, 'learning_rate': 0.013487596578851306, 'n_estimators': 140, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.962817928402309, 'reg_alpha': 0.070303628867559, 'reg_lambda': 0.4895568110037463}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8575623717235015 LGBM Regressor: 2.877595106380256 LGBM Regressor: 2.8779793441942303 LGBM Regressor: 2.878437736196862 LGBM Regressor: 2.87947008587928
[I 2022-11-03 02:47:30,928] Trial 341 finished with value: 2.8781671806651765 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.012129529638436647, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9331578089125304, 'reg_alpha': 0.07438554241679815, 'reg_lambda': 0.5160643776392351}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.877353630675253 LGBM Regressor: 2.847343407228578 LGBM Regressor: 2.846927773164555 LGBM Regressor: 2.8493800804271348 LGBM Regressor: 2.8497863142780253
[I 2022-11-03 02:47:49,584] Trial 342 finished with value: 2.8477808779426903 and parameters: {'num_leaves': 23, 'max_depth': 10, 'learning_rate': 0.012403106737488484, 'n_estimators': 307, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9790263771964389, 'reg_alpha': 0.04660748984201914, 'reg_lambda': 0.5406146827835173}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.84546681461516 LGBM Regressor: 2.8777248028052624 LGBM Regressor: 2.878091112503136 LGBM Regressor: 2.878520175819202 LGBM Regressor: 2.879348594293973
[I 2022-11-03 02:47:52,656] Trial 343 finished with value: 2.878207985448391 and parameters: {'num_leaves': 17, 'max_depth': 10, 'learning_rate': 0.011999698836009091, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9441081655279459, 'reg_alpha': 0.6521981689912808, 'reg_lambda': 0.5474280234366334}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.877355241820382 LGBM Regressor: 2.8763583710072123 LGBM Regressor: 2.8770614224933646 LGBM Regressor: 2.8773686176692777 LGBM Regressor: 2.8781147961973463
[I 2022-11-03 02:47:55,978] Trial 344 finished with value: 2.8769689204246562 and parameters: {'num_leaves': 19, 'max_depth': 10, 'learning_rate': 0.012129606527151608, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9000177460168837, 'reg_alpha': 0.7564046670501583, 'reg_lambda': 0.5688756001193056}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.875941394756081 LGBM Regressor: 2.8571240333759236 LGBM Regressor: 2.857121207612647 LGBM Regressor: 2.8585145640530154 LGBM Regressor: 2.8594788517757572
[I 2022-11-03 02:48:06,368] Trial 345 finished with value: 2.8574357815854357 and parameters: {'num_leaves': 23, 'max_depth': 10, 'learning_rate': 0.012729320677697364, 'n_estimators': 153, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.925192513272706, 'reg_alpha': 0.5824545943490589, 'reg_lambda': 0.5189474762120079}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8549402511098356 LGBM Regressor: 2.8560937392517065 LGBM Regressor: 2.855706345176982 LGBM Regressor: 2.8573140544130338 LGBM Regressor: 2.8581191839841433
[I 2022-11-03 02:48:19,214] Trial 346 finished with value: 2.8562283569249325 and parameters: {'num_leaves': 17, 'max_depth': 11, 'learning_rate': 0.011674019978704209, 'n_estimators': 221, 'class_weight': 'balanced', 'min_child_samples': 10, 'min_child_weight': 0.9516788454420597, 'reg_alpha': 0.6369603703457181, 'reg_lambda': 0.5511693380041801}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8539084617987944 LGBM Regressor: 2.8650848553805544 LGBM Regressor: 2.8652794740239833 LGBM Regressor: 2.866152980193771 LGBM Regressor: 2.867449727157479
[I 2022-11-03 02:48:27,496] Trial 347 finished with value: 2.865529908212283 and parameters: {'num_leaves': 21, 'max_depth': 10, 'learning_rate': 0.011626426547524502, 'n_estimators': 108, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9803785577188191, 'reg_alpha': 0.026189312400123253, 'reg_lambda': 0.5129852646492131}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.863682504305628 LGBM Regressor: 2.4114161485106216 LGBM Regressor: 2.4113291299059507 LGBM Regressor: 2.4119070431662077 LGBM Regressor: 2.4111460870845183
[I 2022-11-03 02:48:36,027] Trial 348 finished with value: 2.411242982916076 and parameters: {'num_leaves': 16, 'max_depth': 11, 'learning_rate': 0.012417762141681011, 'n_estimators': 146, 'class_weight': None, 'min_child_samples': 8, 'min_child_weight': 0.960553141333464, 'reg_alpha': 0.6719926014929862, 'reg_lambda': 0.5425847272002027}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.4104165059130813 LGBM Regressor: 2.8718734433227433 LGBM Regressor: 2.8727519204896077 LGBM Regressor: 2.8731255326559713 LGBM Regressor: 2.8736202377134195
[I 2022-11-03 02:48:40,221] Trial 349 finished with value: 2.872530629244154 and parameters: {'num_leaves': 30, 'max_depth': 10, 'learning_rate': 0.013163614776700543, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 40, 'min_child_weight': 0.9337295493381765, 'reg_alpha': 0.06801082524549737, 'reg_lambda': 0.5126974713313037}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.871282012039027 LGBM Regressor: 2.8700877178778113 LGBM Regressor: 2.870159619305108 LGBM Regressor: 2.8710614177998393 LGBM Regressor: 2.871853469270957
[I 2022-11-03 02:48:47,243] Trial 350 finished with value: 2.8704844660051663 and parameters: {'num_leaves': 15, 'max_depth': 10, 'learning_rate': 0.010981068097556678, 'n_estimators': 102, 'class_weight': 'balanced', 'min_child_samples': 9, 'min_child_weight': 0.9110731998442418, 'reg_alpha': 0.0902085064026098, 'reg_lambda': 0.6133041958767383}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8692601057721165 LGBM Regressor: 2.856009661736509 LGBM Regressor: 2.8557176953937327 LGBM Regressor: 2.8572669554191723 LGBM Regressor: 2.85799885484743
[I 2022-11-03 02:48:59,066] Trial 351 finished with value: 2.856165572892667 and parameters: {'num_leaves': 19, 'max_depth': 11, 'learning_rate': 0.012398098664635577, 'n_estimators': 196, 'class_weight': 'balanced', 'min_child_samples': 34, 'min_child_weight': 0.8700643989730661, 'reg_alpha': 0.005000686446850797, 'reg_lambda': 0.4989487815895049}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8538346970664903 LGBM Regressor: 2.8787352218119997 LGBM Regressor: 2.8788868728047934 LGBM Regressor: 2.87973957473023 LGBM Regressor: 2.8802830756296016
[I 2022-11-03 02:49:03,486] Trial 352 finished with value: 2.8791975663560185 and parameters: {'num_leaves': 14, 'max_depth': 7, 'learning_rate': 0.011955023014515263, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9517136005686929, 'reg_alpha': 0.100042228627196, 'reg_lambda': 0.5325808252813792}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8783430868034667 LGBM Regressor: 2.8672426128739796 LGBM Regressor: 2.867178621804773 LGBM Regressor: 2.868066182468595 LGBM Regressor: 2.869418710928363
[I 2022-11-03 02:49:09,825] Trial 353 finished with value: 2.8676134760745393 and parameters: {'num_leaves': 18, 'max_depth': 7, 'learning_rate': 0.011808653863702098, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.968035153211359, 'reg_alpha': 0.08032721830837865, 'reg_lambda': 0.556647220370402}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8661612522969846 LGBM Regressor: 2.8532943912303366 LGBM Regressor: 2.8530235819374847 LGBM Regressor: 2.8552621288365567 LGBM Regressor: 2.8556562230416387
[I 2022-11-03 02:49:23,657] Trial 354 finished with value: 2.8538069375461506 and parameters: {'num_leaves': 35, 'max_depth': 7, 'learning_rate': 0.013030691873166201, 'n_estimators': 158, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9433559776724111, 'reg_alpha': 0.7001500017755302, 'reg_lambda': 0.5138866259225715}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8517983626847374 LGBM Regressor: 2.8716016244448044 LGBM Regressor: 2.8710668423983874 LGBM Regressor: 2.8720368063561104 LGBM Regressor: 2.873439752416331
[I 2022-11-03 02:49:29,346] Trial 355 finished with value: 2.871624343504377 and parameters: {'num_leaves': 14, 'max_depth': 6, 'learning_rate': 0.011401465202564529, 'n_estimators': 100, 'class_weight': 'balanced', 'min_child_samples': 48, 'min_child_weight': 0.9800740145067076, 'reg_alpha': 0.046922192710709465, 'reg_lambda': 0.5329796230489751}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.869976691906252 LGBM Regressor: 2.878395738309955 LGBM Regressor: 2.87871310474264 LGBM Regressor: 2.8794185606496057 LGBM Regressor: 2.8798675644972227
[I 2022-11-03 02:49:33,615] Trial 356 finished with value: 2.8788569731885496 and parameters: {'num_leaves': 16, 'max_depth': 7, 'learning_rate': 0.01210419527296025, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9996692307706437, 'reg_alpha': 0.10603387601573414, 'reg_lambda': 0.5746261424215654}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.877889897743323 LGBM Regressor: 2.854755161073303 LGBM Regressor: 2.8540980271630274 LGBM Regressor: 2.856368773707651 LGBM Regressor: 2.8566204542108276
[I 2022-11-03 02:49:47,314] Trial 357 finished with value: 2.854768916557189 and parameters: {'num_leaves': 16, 'max_depth': 6, 'learning_rate': 0.012172761530295966, 'n_estimators': 262, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9968255231975821, 'reg_alpha': 0.09844060806426877, 'reg_lambda': 0.6045047086191607}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.852002166631135 LGBM Regressor: 2.878546454060601 LGBM Regressor: 2.87908939925685 LGBM Regressor: 2.879714429539447 LGBM Regressor: 2.8800367511684324
[I 2022-11-03 02:49:50,289] Trial 358 finished with value: 2.879141539553744 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.012743348497047006, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9852885373861257, 'reg_alpha': 0.06406151394368613, 'reg_lambda': 0.5659657373973855}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8783206637433887 LGBM Regressor: 2.8596908697490493 LGBM Regressor: 2.85950112829727 LGBM Regressor: 2.86086768597682 LGBM Regressor: 2.8614639223844947
[I 2022-11-03 02:49:59,844] Trial 359 finished with value: 2.8598450090428478 and parameters: {'num_leaves': 15, 'max_depth': 7, 'learning_rate': 0.013130399530633573, 'n_estimators': 171, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9893682307116888, 'reg_alpha': 0.058188236553397776, 'reg_lambda': 0.5801605791039812}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8577014388066044 LGBM Regressor: 2.8762741289774882 LGBM Regressor: 2.877140889344324 LGBM Regressor: 2.877695054567363 LGBM Regressor: 2.8780075471704425
[I 2022-11-03 02:50:03,183] Trial 360 finished with value: 2.8770069191149283 and parameters: {'num_leaves': 20, 'max_depth': 7, 'learning_rate': 0.012420868539846665, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.9911416023734412, 'reg_alpha': 0.8122986859565859, 'reg_lambda': 0.5827864838667376}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8759169755150227 LGBM Regressor: 2.864311696818168 LGBM Regressor: 2.863809395313606 LGBM Regressor: 2.8651648124779276 LGBM Regressor: 2.8661340967791027
[I 2022-11-03 02:50:10,573] Trial 361 finished with value: 2.8644215741696812 and parameters: {'num_leaves': 17, 'max_depth': 7, 'learning_rate': 0.013456035539116751, 'n_estimators': 115, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9980069257142994, 'reg_alpha': 0.10738784711002997, 'reg_lambda': 0.5550466333558821}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.862687869459603 LGBM Regressor: 2.860183851951238 LGBM Regressor: 2.8602941801291912 LGBM Regressor: 2.8614716184516524 LGBM Regressor: 2.8619523363290638
[I 2022-11-03 02:50:20,168] Trial 362 finished with value: 2.8604266598053423 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.012096250885893042, 'n_estimators': 199, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.9646406369495008, 'reg_alpha': 0.035496577912784794, 'reg_lambda': 0.5722300953233808}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8582313121655645 LGBM Regressor: 2.8637754031682556 LGBM Regressor: 2.8634376278990588 LGBM Regressor: 2.864473694241598 LGBM Regressor: 2.8652863814479006
[I 2022-11-03 02:50:28,578] Trial 363 finished with value: 2.8637752186802237 and parameters: {'num_leaves': 14, 'max_depth': 7, 'learning_rate': 0.012908974631988573, 'n_estimators': 140, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9789520975711293, 'reg_alpha': 0.06753705108201988, 'reg_lambda': 0.5473286723536585}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8619029866443055 LGBM Regressor: 2.8654921888812104 LGBM Regressor: 2.8648362214333263 LGBM Regressor: 2.8656528376513792 LGBM Regressor: 2.866773966802225
[I 2022-11-03 02:50:35,130] Trial 364 finished with value: 2.865264458276809 and parameters: {'num_leaves': 17, 'max_depth': 8, 'learning_rate': 0.013863807237076822, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.962225178110998, 'reg_alpha': 0.09663500444348946, 'reg_lambda': 0.5248511358386958}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8635670766159067 LGBM Regressor: 2.879618148512776 LGBM Regressor: 2.880167129826565 LGBM Regressor: 2.8804731804343686 LGBM Regressor: 2.8812597392576116
[I 2022-11-03 02:50:38,233] Trial 365 finished with value: 2.880159945126588 and parameters: {'num_leaves': 13, 'max_depth': 8, 'learning_rate': 0.01161082252574886, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9703618012660231, 'reg_alpha': 0.11347168995248884, 'reg_lambda': 0.5529082587490778}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8792815276016173 LGBM Regressor: 2.8755851726700774 LGBM Regressor: 2.8761936680375295 LGBM Regressor: 2.876613697115671 LGBM Regressor: 2.876974667542496
[I 2022-11-03 02:50:41,710] Trial 366 finished with value: 2.8760675779543714 and parameters: {'num_leaves': 25, 'max_depth': 7, 'learning_rate': 0.011508837966239846, 'n_estimators': 52, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9985911927516966, 'reg_alpha': 0.11492984406953047, 'reg_lambda': 0.6112199107648397}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8749706844060836 LGBM Regressor: 2.853062724090518 LGBM Regressor: 2.854273549349506 LGBM Regressor: 2.855675436441796 LGBM Regressor: 2.8565273980112966
[I 2022-11-03 02:50:56,636] Trial 367 finished with value: 2.854355516654697 and parameters: {'num_leaves': 114, 'max_depth': 8, 'learning_rate': 0.012066794067460383, 'n_estimators': 112, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9556547454370932, 'reg_alpha': 0.12504053099005435, 'reg_lambda': 0.5773845370760298}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8522384753803656 LGBM Regressor: 2.853485201171988 LGBM Regressor: 2.852604074764582 LGBM Regressor: 2.854574264614452 LGBM Regressor: 2.855573155174353
[I 2022-11-03 02:51:09,108] Trial 368 finished with value: 2.853472644445925 and parameters: {'num_leaves': 20, 'max_depth': 6, 'learning_rate': 0.01264421595135542, 'n_estimators': 239, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.9739836876730174, 'reg_alpha': 0.10525503667903785, 'reg_lambda': 0.5596959811100676}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8511265265042494 LGBM Regressor: 2.413361163070851 LGBM Regressor: 2.413314237136192 LGBM Regressor: 2.4136358215625524 LGBM Regressor: 2.4129666678419084
[I 2022-11-03 02:51:18,529] Trial 369 finished with value: 2.4131872337128484 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.011046933928136245, 'n_estimators': 158, 'class_weight': None, 'min_child_samples': 12, 'min_child_weight': 0.9515996486088967, 'reg_alpha': 0.5405769411071352, 'reg_lambda': 0.6210352401252948}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.412658278952738 LGBM Regressor: 2.8676988528075182 LGBM Regressor: 2.86758349551103 LGBM Regressor: 2.868599775896089 LGBM Regressor: 2.8696891597239276
[I 2022-11-03 02:51:25,200] Trial 370 finished with value: 2.8680589819830984 and parameters: {'num_leaves': 17, 'max_depth': 7, 'learning_rate': 0.011927010415231304, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9275612824202221, 'reg_alpha': 0.020715382044327012, 'reg_lambda': 0.5978566980154171}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8667236259769275 LGBM Regressor: 2.878736665855761 LGBM Regressor: 2.879437630393194 LGBM Regressor: 2.879855220294073 LGBM Regressor: 2.880663414789529
[I 2022-11-03 02:51:27,977] Trial 371 finished with value: 2.879471471473621 and parameters: {'num_leaves': 14, 'max_depth': 8, 'learning_rate': 0.011444969816592597, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9779206511235101, 'reg_alpha': 0.6188813070135675, 'reg_lambda': 0.5867612482124382}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.878664426035549 LGBM Regressor: 2.8578094191583405 LGBM Regressor: 2.8574489009279467 LGBM Regressor: 2.859282150922302 LGBM Regressor: 2.8597605413589577
[I 2022-11-03 02:51:40,040] Trial 372 finished with value: 2.8579998002167963 and parameters: {'num_leaves': 21, 'max_depth': 8, 'learning_rate': 0.011308207147871363, 'n_estimators': 177, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9801648277631555, 'reg_alpha': 0.6435956001456382, 'reg_lambda': 0.5573125040780312}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8556979887164347 LGBM Regressor: 2.8689535443162777 LGBM Regressor: 2.86900772407934 LGBM Regressor: 2.869612372045022 LGBM Regressor: 2.8705676906558333
[I 2022-11-03 02:51:46,940] Trial 373 finished with value: 2.8692356361867497 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.01161288155247864, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9805530391173118, 'reg_alpha': 0.674930605920365, 'reg_lambda': 0.5993595302440116}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8680368498372744 LGBM Regressor: 2.862988958786395 LGBM Regressor: 2.8626771052524655 LGBM Regressor: 2.863607491433959 LGBM Regressor: 2.864953584827858
[I 2022-11-03 02:51:56,412] Trial 374 finished with value: 2.86304946076607 and parameters: {'num_leaves': 18, 'max_depth': 8, 'learning_rate': 0.010870403251866658, 'n_estimators': 149, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9642372756805108, 'reg_alpha': 0.04828656879853785, 'reg_lambda': 0.5645625379771432}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.861020163529671 LGBM Regressor: 2.8781491260711993 LGBM Regressor: 2.8787401745161127 LGBM Regressor: 2.879223355067777 LGBM Regressor: 2.880043930774526
[I 2022-11-03 02:51:59,230] Trial 375 finished with value: 2.8788203538349793 and parameters: {'num_leaves': 14, 'max_depth': 8, 'learning_rate': 0.012707244324543508, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.9987216709029396, 'reg_alpha': 0.6003457911020358, 'reg_lambda': 0.5322631211427298}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8779451827452807 LGBM Regressor: 2.87571112844452 LGBM Regressor: 2.876401789580764 LGBM Regressor: 2.876848930830929 LGBM Regressor: 2.8775497802606145
[I 2022-11-03 02:52:02,227] Trial 376 finished with value: 2.8763645344686033 and parameters: {'num_leaves': 20, 'max_depth': 8, 'learning_rate': 0.012462971146529792, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.9834340768842601, 'reg_alpha': 0.6496466474858754, 'reg_lambda': 0.5447842230655472}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8753110432261897 LGBM Regressor: 2.8180604829467284 LGBM Regressor: 2.8152148984771483 LGBM Regressor: 2.820916300127303 LGBM Regressor: 2.8216109151165343
[I 2022-11-03 02:53:18,559] Trial 377 finished with value: 2.818926017187773 and parameters: {'num_leaves': 100, 'max_depth': 8, 'learning_rate': 0.013323286428550216, 'n_estimators': 880, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.9980353580978475, 'reg_alpha': 0.6266853630613451, 'reg_lambda': 0.5406427262904057}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8188274892711513 LGBM Regressor: 2.8566433483942997 LGBM Regressor: 2.8564810422415623 LGBM Regressor: 2.857848723638063 LGBM Regressor: 2.8581885643509035
[I 2022-11-03 02:53:30,326] Trial 378 finished with value: 2.856709045346677 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.012796814257757227, 'n_estimators': 216, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9997593303969425, 'reg_alpha': 0.5887441093774954, 'reg_lambda': 0.6420568114348948}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8543835481085535 LGBM Regressor: 2.875667714755293 LGBM Regressor: 2.876251675847551 LGBM Regressor: 2.8765308598219934 LGBM Regressor: 2.877169627515715
[I 2022-11-03 02:53:33,760] Trial 379 finished with value: 2.8761193195066967 and parameters: {'num_leaves': 23, 'max_depth': 8, 'learning_rate': 0.0118956667968494, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 14, 'min_child_weight': 0.9701810792998647, 'reg_alpha': 0.701240687842855, 'reg_lambda': 0.580529123164186}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.874976719592933 LGBM Regressor: 2.8681336611149906 LGBM Regressor: 2.868027184232152 LGBM Regressor: 2.8689390860307435 LGBM Regressor: 2.8699647718719477
[I 2022-11-03 02:53:41,371] Trial 380 finished with value: 2.868420493929478 and parameters: {'num_leaves': 16, 'max_depth': 7, 'learning_rate': 0.011435897626860462, 'n_estimators': 110, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.962446463824061, 'reg_alpha': 0.6046991975694826, 'reg_lambda': 0.5891872089363271}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.867037766397556 LGBM Regressor: 2.8489707289810613 LGBM Regressor: 2.8489997222745282 LGBM Regressor: 2.8512208618204773 LGBM Regressor: 2.8517327055832147
[I 2022-11-03 02:53:59,735] Trial 381 finished with value: 2.849688254535045 and parameters: {'num_leaves': 90, 'max_depth': 8, 'learning_rate': 0.012334827827598874, 'n_estimators': 143, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9993412731825141, 'reg_alpha': 0.6107970934434163, 'reg_lambda': 0.529328402349827}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8475172540159432 LGBM Regressor: 2.8515860772969934 LGBM Regressor: 2.8502210424593093 LGBM Regressor: 2.852496599280235 LGBM Regressor: 2.853174543677741
[I 2022-11-03 02:54:14,763] Trial 382 finished with value: 2.851175058129147 and parameters: {'num_leaves': 18, 'max_depth': 6, 'learning_rate': 0.0133061765639845, 'n_estimators': 291, 'class_weight': 'balanced', 'min_child_samples': 12, 'min_child_weight': 0.9461986575243654, 'reg_alpha': 0.6250792755851309, 'reg_lambda': 0.5046545359749934}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8483970279314565 LGBM Regressor: 2.8710317095509654 LGBM Regressor: 2.870696737519365 LGBM Regressor: 2.872046360057603 LGBM Regressor: 2.872445134889066
[I 2022-11-03 02:54:21,164] Trial 383 finished with value: 2.8712583918262826 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.010931034357043902, 'n_estimators': 108, 'class_weight': 'balanced', 'min_child_samples': 13, 'min_child_weight': 0.9776552567985454, 'reg_alpha': 0.06845741581747936, 'reg_lambda': 0.5383546332176501}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.870072017114414 LGBM Regressor: 2.860515105215301 LGBM Regressor: 2.860376879235554 LGBM Regressor: 2.8617381115910407 LGBM Regressor: 2.8621869612619983
[I 2022-11-03 02:54:31,501] Trial 384 finished with value: 2.8606828885292637 and parameters: {'num_leaves': 13, 'max_depth': 9, 'learning_rate': 0.01187658364290252, 'n_estimators': 198, 'class_weight': 'balanced', 'min_child_samples': 37, 'min_child_weight': 0.9268429066291504, 'reg_alpha': 0.6537687462755284, 'reg_lambda': 0.5646976410902302}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8585973853424247 LGBM Regressor: 2.8658715339672947 LGBM Regressor: 2.8653152849601238 LGBM Regressor: 2.8661025913827043 LGBM Regressor: 2.8674420303357167
[I 2022-11-03 02:54:38,734] Trial 385 finished with value: 2.8657327121406815 and parameters: {'num_leaves': 17, 'max_depth': 8, 'learning_rate': 0.013737274787826494, 'n_estimators': 103, 'class_weight': 'balanced', 'min_child_samples': 11, 'min_child_weight': 0.9524377405956261, 'reg_alpha': 0.6637506259540499, 'reg_lambda': 0.5236783828478109}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.86393212005757 LGBM Regressor: 2.854928183439095 LGBM Regressor: 2.854440163281141 LGBM Regressor: 2.856580049670072 LGBM Regressor: 2.857513183076066
[I 2022-11-03 02:54:50,638] Trial 386 finished with value: 2.855323435916708 and parameters: {'num_leaves': 42, 'max_depth': 6, 'learning_rate': 0.0126021460750042, 'n_estimators': 162, 'class_weight': 'balanced', 'min_child_samples': 15, 'min_child_weight': 0.9757848605216131, 'reg_alpha': 0.6111322219671745, 'reg_lambda': 0.4958338856736832}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8531556001171654 LGBM Regressor: 2.8811631779854285 LGBM Regressor: 2.8816380560345816 LGBM Regressor: 2.882059807677617 LGBM Regressor: 2.8823862970708967
[I 2022-11-03 02:54:53,447] Trial 387 finished with value: 2.8816072069999583 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.01050539244708265, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 27, 'min_child_weight': 0.9238802052113351, 'reg_alpha': 0.5546746119549935, 'reg_lambda': 0.5917553293500134}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8807886962312668 LGBM Regressor: 2.423451308804253 LGBM Regressor: 2.4235496110942165 LGBM Regressor: 2.423601837260959 LGBM Regressor: 2.423417187481865
[I 2022-11-03 02:54:56,038] Trial 388 finished with value: 2.423424565681961 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.010416204655944441, 'n_estimators': 50, 'class_weight': None, 'min_child_samples': 13, 'min_child_weight': 0.9186963285962482, 'reg_alpha': 0.5546900124025197, 'reg_lambda': 0.5910914893405659}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.423102883768512 LGBM Regressor: 2.871425121930304 LGBM Regressor: 2.8713339124279322 LGBM Regressor: 2.8726699629197934 LGBM Regressor: 2.8732324552998296
[I 2022-11-03 02:55:00,608] Trial 389 finished with value: 2.871858705332636 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.010211114302199568, 'n_estimators': 112, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.9110792627237958, 'reg_alpha': 0.5784521586237656, 'reg_lambda': 0.5725530380428787}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.870632074085319 LGBM Regressor: 2.8588243106430804 LGBM Regressor: 2.8587056487252998 LGBM Regressor: 2.8601205860385406 LGBM Regressor: 2.860651601239141
[I 2022-11-03 02:55:13,663] Trial 390 finished with value: 2.8590183338642197 and parameters: {'num_leaves': 15, 'max_depth': 7, 'learning_rate': 0.010797156436197957, 'n_estimators': 222, 'class_weight': 'balanced', 'min_child_samples': 29, 'min_child_weight': 0.9416465396330318, 'reg_alpha': 0.5320804208319411, 'reg_lambda': 0.6267224378355298}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8567895226750357 LGBM Regressor: 2.845868094302527 LGBM Regressor: 2.8426530176264864 LGBM Regressor: 2.8456735109056734 LGBM Regressor: 2.8463988269887226
[I 2022-11-03 02:55:21,015] Trial 391 finished with value: 2.844508842679892 and parameters: {'num_leaves': 13, 'max_depth': 6, 'learning_rate': 0.06424780786892026, 'n_estimators': 156, 'class_weight': 'balanced', 'min_child_samples': 29, 'min_child_weight': 0.9014398952019256, 'reg_alpha': 0.622102086501461, 'reg_lambda': 0.5896834150212549}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.84195076357605 LGBM Regressor: 2.871257971096302 LGBM Regressor: 2.871337260680346 LGBM Regressor: 2.8724333979886065 LGBM Regressor: 2.8734000821115484
[I 2022-11-03 02:55:28,170] Trial 392 finished with value: 2.871794413536169 and parameters: {'num_leaves': 15, 'max_depth': 7, 'learning_rate': 0.010008070430078085, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 29, 'min_child_weight': 0.8909079050467188, 'reg_alpha': 0.5718832727736279, 'reg_lambda': 0.5498598973613003}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8705433558040423 LGBM Regressor: 2.877784313690664 LGBM Regressor: 2.878028211300454 LGBM Regressor: 2.8786589802982854 LGBM Regressor: 2.8796824039866395
[I 2022-11-03 02:55:30,939] Trial 393 finished with value: 2.87827829920045 and parameters: {'num_leaves': 12, 'max_depth': 8, 'learning_rate': 0.014224093312139063, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 28, 'min_child_weight': 0.9320804508846313, 'reg_alpha': 0.507346248061305, 'reg_lambda': 0.6760657367564892}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.877237586726207 LGBM Regressor: 2.864105487962288 LGBM Regressor: 2.8643776497315048 LGBM Regressor: 2.865086070927869 LGBM Regressor: 2.8659810787312128
[I 2022-11-03 02:55:37,573] Trial 394 finished with value: 2.864472223718674 and parameters: {'num_leaves': 20, 'max_depth': 8, 'learning_rate': 0.014092680307433655, 'n_estimators': 99, 'class_weight': 'balanced', 'min_child_samples': 27, 'min_child_weight': 0.9226724021459625, 'reg_alpha': 0.5183639086138998, 'reg_lambda': 0.6700774522704274}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.862810831240494 LGBM Regressor: 2.861246917096825 LGBM Regressor: 2.8607560443108464 LGBM Regressor: 2.8620475160144085 LGBM Regressor: 2.8628346179169633
[I 2022-11-03 02:55:45,835] Trial 395 finished with value: 2.8612354327877063 and parameters: {'num_leaves': 16, 'max_depth': 8, 'learning_rate': 0.01296177605823194, 'n_estimators': 151, 'class_weight': 'balanced', 'min_child_samples': 32, 'min_child_weight': 0.9336406557272454, 'reg_alpha': 0.6357800970049141, 'reg_lambda': 0.7302992088125442}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8592920685994883 LGBM Regressor: 2.85529607564899 LGBM Regressor: 2.8546075212984525 LGBM Regressor: 2.856620989508293 LGBM Regressor: 2.8566729922253042
[I 2022-11-03 02:55:58,707] Trial 396 finished with value: 2.855184853092521 and parameters: {'num_leaves': 13, 'max_depth': 7, 'learning_rate': 0.013744860896258291, 'n_estimators': 260, 'class_weight': 'balanced', 'min_child_samples': 27, 'min_child_weight': 0.8950967582077068, 'reg_alpha': 0.5113158112104207, 'reg_lambda': 0.6427753167891457}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.852726686781565 LGBM Regressor: 2.8803497283901494 LGBM Regressor: 2.8806348249464397 LGBM Regressor: 2.881056948919683 LGBM Regressor: 2.881970476173662
[I 2022-11-03 02:56:01,457] Trial 397 finished with value: 2.8807917976333477 and parameters: {'num_leaves': 12, 'max_depth': 8, 'learning_rate': 0.01169713633523819, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.9203824361684144, 'reg_alpha': 0.5452287423072288, 'reg_lambda': 0.5327783982176022}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.879947009736802 LGBM Regressor: 2.8802642839282853 LGBM Regressor: 2.8806412432001465 LGBM Regressor: 2.8812152321739903 LGBM Regressor: 2.881789242019033
[I 2022-11-03 02:56:04,070] Trial 398 finished with value: 2.8807627686228416 and parameters: {'num_leaves': 13, 'max_depth': 8, 'learning_rate': 0.01127135580657726, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 27, 'min_child_weight': 0.9116001273885511, 'reg_alpha': 0.4882355321265618, 'reg_lambda': 0.7550088305521381}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8799038417927534 LGBM Regressor: 2.83644028182475 LGBM Regressor: 2.833368095011177 LGBM Regressor: 2.837523379495189 LGBM Regressor: 2.8376957100275977
[I 2022-11-03 02:57:07,851] Trial 399 finished with value: 2.835679806397423 and parameters: {'num_leaves': 12, 'max_depth': 8, 'learning_rate': 0.010647596309017963, 'n_estimators': 2338, 'class_weight': 'balanced', 'min_child_samples': 28, 'min_child_weight': 0.8869835679334085, 'reg_alpha': 0.5586681835295498, 'reg_lambda': 0.6099923412111256}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8333715656284006 LGBM Regressor: 2.862240587422882 LGBM Regressor: 2.862225514334325 LGBM Regressor: 2.8633582724843545 LGBM Regressor: 2.863768801065366
[I 2022-11-03 02:57:17,191] Trial 400 finished with value: 2.862380877779777 and parameters: {'num_leaves': 12, 'max_depth': 8, 'learning_rate': 0.011262244755944431, 'n_estimators': 197, 'class_weight': 'balanced', 'min_child_samples': 28, 'min_child_weight': 0.9139385614526572, 'reg_alpha': 0.5031547513631661, 'reg_lambda': 0.5379607427398396}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.860311213591958 LGBM Regressor: 2.8679111800635644 LGBM Regressor: 2.867975085686367 LGBM Regressor: 2.8686044239944355 LGBM Regressor: 2.8697754260837214
[I 2022-11-03 02:57:24,977] Trial 401 finished with value: 2.8681807216756323 and parameters: {'num_leaves': 18, 'max_depth': 8, 'learning_rate': 0.011106759404976784, 'n_estimators': 106, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.9003453716405759, 'reg_alpha': 0.4922157594139554, 'reg_lambda': 0.7846631279631225}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8666374925500726 LGBM Regressor: 2.8642654492106883 LGBM Regressor: 2.864245509747505 LGBM Regressor: 2.8651141807092153 LGBM Regressor: 2.8656971471126527
[I 2022-11-03 02:57:33,263] Trial 402 finished with value: 2.8643474213420173 and parameters: {'num_leaves': 12, 'max_depth': 8, 'learning_rate': 0.011701885641802186, 'n_estimators': 166, 'class_weight': 'balanced', 'min_child_samples': 27, 'min_child_weight': 0.9178635858193445, 'reg_alpha': 0.5381476931914816, 'reg_lambda': 0.5678796913383716}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8624148199300254 LGBM Regressor: 2.834408535039517 LGBM Regressor: 2.8326631325817107 LGBM Regressor: 2.8361220088321404 LGBM Regressor: 2.83626591212752
[I 2022-11-03 02:58:31,734] Trial 403 finished with value: 2.8343787103340223 and parameters: {'num_leaves': 16, 'max_depth': 7, 'learning_rate': 0.010636807315226178, 'n_estimators': 1885, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8607540362811207, 'reg_alpha': 0.5199162997352037, 'reg_lambda': 0.5533084382835685}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.832433963089224 LGBM Regressor: 2.8708761177523763 LGBM Regressor: 2.870766376905268 LGBM Regressor: 2.8717956623463263 LGBM Regressor: 2.8727747834464483
[I 2022-11-03 02:58:36,760] Trial 404 finished with value: 2.8712202539947467 and parameters: {'num_leaves': 12, 'max_depth': 8, 'learning_rate': 0.011471352224884782, 'n_estimators': 108, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.9378226672750059, 'reg_alpha': 0.5979599438913817, 'reg_lambda': 0.7618949216650162}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8698883295233135 LGBM Regressor: 2.8789890772807576 LGBM Regressor: 2.87970089396098 LGBM Regressor: 2.8797794608181024 LGBM Regressor: 2.8805424528932333
[I 2022-11-03 02:58:40,908] Trial 405 finished with value: 2.8795424787204893 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.01094373106173439, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 28, 'min_child_weight': 0.8892055246558425, 'reg_alpha': 0.5617912552191615, 'reg_lambda': 0.6447265322590052}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.878700508649374 LGBM Regressor: 2.8702767995702443 LGBM Regressor: 2.8701337455917457 LGBM Regressor: 2.8709488841073734 LGBM Regressor: 2.871591523766914
[I 2022-11-03 02:58:48,045] Trial 406 finished with value: 2.870301055246331 and parameters: {'num_leaves': 10, 'max_depth': 8, 'learning_rate': 0.010381457204819174, 'n_estimators': 146, 'class_weight': 'balanced', 'min_child_samples': 28, 'min_child_weight': 0.8839420864479742, 'reg_alpha': 0.558578230532656, 'reg_lambda': 0.700294718602595}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.868554323195379 LGBM Regressor: 2.879555301642886 LGBM Regressor: 2.880219023813594 LGBM Regressor: 2.88022345826597 LGBM Regressor: 2.8809385140988018
[I 2022-11-03 02:58:52,730] Trial 407 finished with value: 2.8800341236249842 and parameters: {'num_leaves': 15, 'max_depth': 8, 'learning_rate': 0.010890558067549074, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.8722491344759468, 'reg_alpha': 0.5677933282721672, 'reg_lambda': 0.8391467175340396}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.879234320303669 LGBM Regressor: 2.870808751388486 LGBM Regressor: 2.870721680390774 LGBM Regressor: 2.871511469168228 LGBM Regressor: 2.8725947008930697
[I 2022-11-03 02:58:57,766] Trial 408 finished with value: 2.871045074803221 and parameters: {'num_leaves': 14, 'max_depth': 8, 'learning_rate': 0.010982205879725003, 'n_estimators': 103, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.8396757894332226, 'reg_alpha': 0.5475078007873444, 'reg_lambda': 0.8330184848270512}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8695887721755478 LGBM Regressor: 2.4121207096739936 LGBM Regressor: 2.4123486398064373 LGBM Regressor: 2.4124467345343854 LGBM Regressor: 2.411826918208768
[I 2022-11-03 02:59:06,694] Trial 409 finished with value: 2.411940803607633 and parameters: {'num_leaves': 12, 'max_depth': 8, 'learning_rate': 0.01052853458834689, 'n_estimators': 203, 'class_weight': None, 'min_child_samples': 27, 'min_child_weight': 0.8575515968866196, 'reg_alpha': 0.5570328064478194, 'reg_lambda': 0.6582483847789548}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.4109610158145798 LGBM Regressor: 2.8796495128332857 LGBM Regressor: 2.8798599122890076 LGBM Regressor: 2.8805484895933016 LGBM Regressor: 2.880947986972763
[I 2022-11-03 02:59:10,741] Trial 410 finished with value: 2.880036331528866 and parameters: {'num_leaves': 15, 'max_depth': 7, 'learning_rate': 0.011310164266779058, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8517219100532524, 'reg_alpha': 0.579367998701952, 'reg_lambda': 0.9155489450401724}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8791757559559734 LGBM Regressor: 2.8796911426804948 LGBM Regressor: 2.879970844910613 LGBM Regressor: 2.8805516056619704 LGBM Regressor: 2.881003854432317
[I 2022-11-03 02:59:13,498] Trial 411 finished with value: 2.880093514247727 and parameters: {'num_leaves': 15, 'max_depth': 7, 'learning_rate': 0.011250658032409684, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8693210232925477, 'reg_alpha': 0.5699662054659435, 'reg_lambda': 0.79621625110509}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8792501235532413 LGBM Regressor: 2.862078652642301 LGBM Regressor: 2.8624835872601135 LGBM Regressor: 2.8633387917980033 LGBM Regressor: 2.8638947901105807
[I 2022-11-03 02:59:23,541] Trial 412 finished with value: 2.862435436677841 and parameters: {'num_leaves': 22, 'max_depth': 6, 'learning_rate': 0.011277107833153926, 'n_estimators': 145, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.845355615716911, 'reg_alpha': 0.6057599992490197, 'reg_lambda': 0.9131737757903626}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.860381361578204 LGBM Regressor: 2.8691239121509717 LGBM Regressor: 2.8689895573967945 LGBM Regressor: 2.8699590527563923 LGBM Regressor: 2.870926546520287
[I 2022-11-03 02:59:29,914] Trial 413 finished with value: 2.8694095260402595 and parameters: {'num_leaves': 16, 'max_depth': 7, 'learning_rate': 0.011533750341715245, 'n_estimators': 103, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8189178691059714, 'reg_alpha': 0.5812245231536681, 'reg_lambda': 0.8258171475741007}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.868048561376851 LGBM Regressor: 2.845378260268847 LGBM Regressor: 2.8447342713042834 LGBM Regressor: 2.8479660801351607 LGBM Regressor: 2.8480486968145473
[I 2022-11-03 02:59:51,565] Trial 414 finished with value: 2.846000196407615 and parameters: {'num_leaves': 50, 'max_depth': 7, 'learning_rate': 0.010943135807502457, 'n_estimators': 268, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.8402122742610537, 'reg_alpha': 0.56991736419871, 'reg_lambda': 0.7878770030834089}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.843873673515237 LGBM Regressor: 2.8636526600710535 LGBM Regressor: 2.8635842207517603 LGBM Regressor: 2.8645776172423485 LGBM Regressor: 2.8656002971415804
[I 2022-11-03 03:00:00,994] Trial 415 finished with value: 2.8639798926116624 and parameters: {'num_leaves': 19, 'max_depth': 7, 'learning_rate': 0.010001373396977228, 'n_estimators': 150, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.8676513043022958, 'reg_alpha': 0.5859949103293821, 'reg_lambda': 0.8593467445134093}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.862484667851571 LGBM Regressor: 2.8695403230056162 LGBM Regressor: 2.869655848535125 LGBM Regressor: 2.870472552458026 LGBM Regressor: 2.871762898930053
[I 2022-11-03 03:00:05,995] Trial 416 finished with value: 2.8700569035478174 and parameters: {'num_leaves': 15, 'max_depth': 7, 'learning_rate': 0.011771303070526894, 'n_estimators': 100, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.8722093316930618, 'reg_alpha': 0.594640893707893, 'reg_lambda': 0.8100473476179995}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8688528948102663 LGBM Regressor: 2.860199401227826 LGBM Regressor: 2.8596691901873124 LGBM Regressor: 2.861046180542519 LGBM Regressor: 2.8616796244806935
[I 2022-11-03 03:00:16,562] Trial 417 finished with value: 2.8600763061214427 and parameters: {'num_leaves': 16, 'max_depth': 7, 'learning_rate': 0.01052276117856257, 'n_estimators': 203, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.831329961102909, 'reg_alpha': 0.5698906332386412, 'reg_lambda': 0.8849159601403082}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.857787134168863 LGBM Regressor: 2.8678595830241864 LGBM Regressor: 2.8682166265974076 LGBM Regressor: 2.8688848114317174 LGBM Regressor: 2.8702488213315407
[I 2022-11-03 03:00:21,953] Trial 418 finished with value: 2.8684657794926154 and parameters: {'num_leaves': 19, 'max_depth': 7, 'learning_rate': 0.011409949060863402, 'n_estimators': 101, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8507003839099319, 'reg_alpha': 0.5548860398468514, 'reg_lambda': 0.9614994040966509}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8671190550782244 LGBM Regressor: 2.880916876634264 LGBM Regressor: 2.8810442602527875 LGBM Regressor: 2.8812492710224458 LGBM Regressor: 2.881933492355582
[I 2022-11-03 03:00:24,793] Trial 419 finished with value: 2.881036494408977 and parameters: {'num_leaves': 14, 'max_depth': 6, 'learning_rate': 0.010972151774266319, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8699062847308414, 'reg_alpha': 0.539561696704717, 'reg_lambda': 0.7543780113611029}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8800385717798047 LGBM Regressor: 2.8416010181913247 LGBM Regressor: 2.838921148464333 LGBM Regressor: 2.8419721098323194 LGBM Regressor: 2.8429057168824308
[I 2022-11-03 03:00:32,179] Trial 420 finished with value: 2.8408780461320076 and parameters: {'num_leaves': 15, 'max_depth': 6, 'learning_rate': 0.07628684739887136, 'n_estimators': 154, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8007464941295441, 'reg_alpha': 0.5383520283436095, 'reg_lambda': 0.9132354809673275}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8389902372896314 LGBM Regressor: 2.8790014674943984 LGBM Regressor: 2.8784623419634046 LGBM Regressor: 2.879127203529262 LGBM Regressor: 2.8794956562457514
[I 2022-11-03 03:00:35,139] Trial 421 finished with value: 2.878652879187198 and parameters: {'num_leaves': 130, 'max_depth': 5, 'learning_rate': 0.010994716617964743, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.8683428167890226, 'reg_alpha': 0.5389764339781717, 'reg_lambda': 0.7624637525972926}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8771777267031737 LGBM Regressor: 2.860530460740264 LGBM Regressor: 2.8627907100628245 LGBM Regressor: 2.864159527526198 LGBM Regressor: 2.864237792314157
[I 2022-11-03 03:00:46,211] Trial 422 finished with value: 2.8625564387487046 and parameters: {'num_leaves': 96, 'max_depth': 7, 'learning_rate': 0.010894413629005546, 'n_estimators': 102, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8643829154585361, 'reg_alpha': 0.5433468309696009, 'reg_lambda': 0.7620238349382581}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8610637031000796 LGBM Regressor: 2.8528162966234105 LGBM Regressor: 2.851558514039675 LGBM Regressor: 2.852955341155833 LGBM Regressor: 2.854345302835334
[I 2022-11-03 03:01:04,499] Trial 423 finished with value: 2.8521016551928993 and parameters: {'num_leaves': 131, 'max_depth': 5, 'learning_rate': 0.010501235639403136, 'n_estimators': 323, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.8764232798683902, 'reg_alpha': 0.5260568544181625, 'reg_lambda': 0.730525588186721}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8488328213102423 LGBM Regressor: 2.8581492947718696 LGBM Regressor: 2.85699105471783 LGBM Regressor: 2.8580788747384043 LGBM Regressor: 2.8594181820862263
[I 2022-11-03 03:01:18,403] Trial 424 finished with value: 2.8573890208876844 and parameters: {'num_leaves': 141, 'max_depth': 5, 'learning_rate': 0.01099492375911775, 'n_estimators': 212, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.8503892357873988, 'reg_alpha': 0.5864698469871789, 'reg_lambda': 0.7601284627036554}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8543076981240905 LGBM Regressor: 2.8738591352471103 LGBM Regressor: 2.8744148083618266 LGBM Regressor: 2.8750684380401017 LGBM Regressor: 2.8757742065384138
[I 2022-11-03 03:01:24,725] Trial 425 finished with value: 2.874527463035309 and parameters: {'num_leaves': 86, 'max_depth': 7, 'learning_rate': 0.010473527718717747, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8208849222014818, 'reg_alpha': 0.543306602182458, 'reg_lambda': 0.7794592028561003}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8735207269890912 LGBM Regressor: 2.863938743803626 LGBM Regressor: 2.8634180675938827 LGBM Regressor: 2.864343126467304 LGBM Regressor: 2.865631950663712
[I 2022-11-03 03:01:32,282] Trial 426 finished with value: 2.8637870818439413 and parameters: {'num_leaves': 18, 'max_depth': 5, 'learning_rate': 0.01126520713662729, 'n_estimators': 155, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8814279370996044, 'reg_alpha': 0.5669356810044991, 'reg_lambda': 0.749607688706645}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.861603520691182 LGBM Regressor: 2.8632539474276846 LGBM Regressor: 2.8636690267056544 LGBM Regressor: 2.8651042037457723 LGBM Regressor: 2.8663322575995656
[I 2022-11-03 03:01:41,580] Trial 427 finished with value: 2.86412601596345 and parameters: {'num_leaves': 102, 'max_depth': 6, 'learning_rate': 0.011872433218576194, 'n_estimators': 103, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.8606812841969843, 'reg_alpha': 0.5961657519553619, 'reg_lambda': 0.8136186694861236}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8622706443385724 LGBM Regressor: 2.879285147624259 LGBM Regressor: 2.879514321512383 LGBM Regressor: 2.8796533902559585 LGBM Regressor: 2.880223898913986
[I 2022-11-03 03:01:44,547] Trial 428 finished with value: 2.8793493321142885 and parameters: {'num_leaves': 22, 'max_depth': 6, 'learning_rate': 0.010093378080735464, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8376360333981787, 'reg_alpha': 0.5300501385756764, 'reg_lambda': 0.8632587829826339}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.878069902264857 LGBM Regressor: 2.410843292277792 LGBM Regressor: 2.410639758738815 LGBM Regressor: 2.4118490402331374 LGBM Regressor: 2.410797573663981
[I 2022-11-03 03:01:56,164] Trial 429 finished with value: 2.410857037448694 and parameters: {'num_leaves': 126, 'max_depth': 6, 'learning_rate': 0.010018749956702348, 'n_estimators': 146, 'class_weight': None, 'min_child_samples': 24, 'min_child_weight': 0.8481629931452396, 'reg_alpha': 0.5722892301764206, 'reg_lambda': 0.8848326767405161}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.4101555223297426 LGBM Regressor: 2.8317721604971906 LGBM Regressor: 2.8292975435792904 LGBM Regressor: 2.832927013068607 LGBM Regressor: 2.834563939558622
[I 2022-11-03 03:03:05,086] Trial 430 finished with value: 2.8318309540843853 and parameters: {'num_leaves': 150, 'max_depth': 5, 'learning_rate': 0.010428987736008437, 'n_estimators': 1754, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.8276824605127397, 'reg_alpha': 0.5202328932814213, 'reg_lambda': 0.7973589239426039}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8305941137182162 LGBM Regressor: 2.877928595784895 LGBM Regressor: 2.8782293657037967 LGBM Regressor: 2.878751102975505 LGBM Regressor: 2.8796431784251864
[I 2022-11-03 03:03:08,371] Trial 431 finished with value: 2.878362309585325 and parameters: {'num_leaves': 136, 'max_depth': 3, 'learning_rate': 0.01078081092593127, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8732030214709543, 'reg_alpha': 0.5348768780449631, 'reg_lambda': 0.8309138328815621}. Best is trial 289 with value: 2.882855981314943.
LGBM Regressor: 2.8772593050372417 LGBM Regressor: 2.882893214883978 LGBM Regressor: 2.88276016765853 LGBM Regressor: 2.8830432970714326 LGBM Regressor: 2.8840146472646784
[I 2022-11-03 03:03:10,982] Trial 432 finished with value: 2.8829371274396167 and parameters: {'num_leaves': 146, 'max_depth': 4, 'learning_rate': 0.01000572648349817, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8774929322427114, 'reg_alpha': 0.5290137841434529, 'reg_lambda': 0.8156015881855808}. Best is trial 432 with value: 2.8829371274396167.
LGBM Regressor: 2.8819743103194644 LGBM Regressor: 2.8855012277005496 LGBM Regressor: 2.8857810316414514 LGBM Regressor: 2.8860379519220194 LGBM Regressor: 2.886691396136111
[I 2022-11-03 03:03:13,098] Trial 433 finished with value: 2.8858343690076387 and parameters: {'num_leaves': 130, 'max_depth': 3, 'learning_rate': 0.010141772752671903, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8349171816878965, 'reg_alpha': 0.485549031019017, 'reg_lambda': 0.8475060515511019}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8851602376380594 LGBM Regressor: 2.8612920369790618 LGBM Regressor: 2.8602197868249513 LGBM Regressor: 2.861161884555443 LGBM Regressor: 2.8628231125461747
[I 2022-11-03 03:03:23,918] Trial 434 finished with value: 2.860619509873351 and parameters: {'num_leaves': 146, 'max_depth': 5, 'learning_rate': 0.01013969403813644, 'n_estimators': 190, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8151557851957827, 'reg_alpha': 0.4617057675875186, 'reg_lambda': 0.8547460068306043}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8576007284611227 LGBM Regressor: 2.8748300967413263 LGBM Regressor: 2.874401871002843 LGBM Regressor: 2.8750841047106332 LGBM Regressor: 2.8752197912706356
[I 2022-11-03 03:03:28,680] Trial 435 finished with value: 2.87449028895536 and parameters: {'num_leaves': 130, 'max_depth': 4, 'learning_rate': 0.010058801549658472, 'n_estimators': 108, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.8505518629266293, 'reg_alpha': 0.500330348610808, 'reg_lambda': 0.8477472438865843}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.87291558105136 LGBM Regressor: 2.868404444191066 LGBM Regressor: 2.8684785691858443 LGBM Regressor: 2.869994888542372 LGBM Regressor: 2.8709383647801996
[I 2022-11-03 03:03:37,073] Trial 436 finished with value: 2.8690103097059745 and parameters: {'num_leaves': 134, 'max_depth': 3, 'learning_rate': 0.010563209367324754, 'n_estimators': 247, 'class_weight': 'balanced', 'min_child_samples': 20, 'min_child_weight': 0.8442770223409264, 'reg_alpha': 0.4941691576742163, 'reg_lambda': 0.874189499002682}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8672352818303897 LGBM Regressor: 2.8702739918903992 LGBM Regressor: 2.8695638602484763 LGBM Regressor: 2.8703457050801733 LGBM Regressor: 2.8706875759685517
[I 2022-11-03 03:03:43,817] Trial 437 finished with value: 2.8697531834074796 and parameters: {'num_leaves': 121, 'max_depth': 4, 'learning_rate': 0.010376520790847554, 'n_estimators': 146, 'class_weight': 'balanced', 'min_child_samples': 20, 'min_child_weight': 0.8275090521968135, 'reg_alpha': 0.4734343887312546, 'reg_lambda': 0.9207951049625708}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8678947838497977 LGBM Regressor: 2.8854758174915753 LGBM Regressor: 2.8857351414010517 LGBM Regressor: 2.8859823488343865 LGBM Regressor: 2.886628185701093
[I 2022-11-03 03:03:46,196] Trial 438 finished with value: 2.8857912133918537 and parameters: {'num_leaves': 128, 'max_depth': 3, 'learning_rate': 0.010001772275864892, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8007435543592352, 'reg_alpha': 0.5513403782265163, 'reg_lambda': 0.8040184915370682}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8851345735311633 LGBM Regressor: 2.878616310726288 LGBM Regressor: 2.8788428277036755 LGBM Regressor: 2.879359997805811 LGBM Regressor: 2.8802107553042764
[I 2022-11-03 03:03:50,031] Trial 439 finished with value: 2.879006635321432 and parameters: {'num_leaves': 109, 'max_depth': 3, 'learning_rate': 0.010076117337346651, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8008705461995103, 'reg_alpha': 0.5619154762474186, 'reg_lambda': 0.840064467898482}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.878003285067109 LGBM Regressor: 2.878587179560715 LGBM Regressor: 2.8788320680622235 LGBM Regressor: 2.8793501373793053 LGBM Regressor: 2.8802019485807224
[I 2022-11-03 03:03:53,637] Trial 440 finished with value: 2.878992661692629 and parameters: {'num_leaves': 145, 'max_depth': 3, 'learning_rate': 0.010086585681741384, 'n_estimators': 105, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.7778140261186003, 'reg_alpha': 0.5569930327158623, 'reg_lambda': 0.8085495157411187}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8779919748801768 LGBM Regressor: 2.8714185437952096 LGBM Regressor: 2.871935732794748 LGBM Regressor: 2.8724217109698387 LGBM Regressor: 2.8736728830512908
[I 2022-11-03 03:04:00,290] Trial 441 finished with value: 2.8720357276576545 and parameters: {'num_leaves': 144, 'max_depth': 3, 'learning_rate': 0.01003185349749859, 'n_estimators': 196, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8084179438865882, 'reg_alpha': 0.5225996571939165, 'reg_lambda': 0.8178243843191073}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.870729767677185 LGBM Regressor: 2.8748182812327725 LGBM Regressor: 2.8750695873850005 LGBM Regressor: 2.875749671118087 LGBM Regressor: 2.876717132432226
[I 2022-11-03 03:04:04,338] Trial 442 finished with value: 2.8752776906490745 and parameters: {'num_leaves': 121, 'max_depth': 3, 'learning_rate': 0.01000797195025226, 'n_estimators': 148, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.8003146317817327, 'reg_alpha': 0.5592017990097993, 'reg_lambda': 0.8428728363634358}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.874033781077287 LGBM Regressor: 2.8689717228032783 LGBM Regressor: 2.868893235846766 LGBM Regressor: 2.870401790746334 LGBM Regressor: 2.871355098865447
[I 2022-11-03 03:04:13,008] Trial 443 finished with value: 2.8694862950048803 and parameters: {'num_leaves': 148, 'max_depth': 3, 'learning_rate': 0.010542122477460645, 'n_estimators': 237, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8301176042874885, 'reg_alpha': 0.48488839305821707, 'reg_lambda': 0.8021491605800859}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.867809626762575 LGBM Regressor: 2.8780904688654205 LGBM Regressor: 2.878370456596529 LGBM Regressor: 2.8789247019232547 LGBM Regressor: 2.879720225078321
[I 2022-11-03 03:04:16,884] Trial 444 finished with value: 2.878510014869075 and parameters: {'num_leaves': 107, 'max_depth': 3, 'learning_rate': 0.010449750053565547, 'n_estimators': 106, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.8203641115644636, 'reg_alpha': 0.5511368097426614, 'reg_lambda': 0.8256834059985253}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.87744422188185 LGBM Regressor: 2.8726122194309647 LGBM Regressor: 2.8730305823642905 LGBM Regressor: 2.873751946744093 LGBM Regressor: 2.874785873247541
[I 2022-11-03 03:04:23,409] Trial 445 finished with value: 2.8732744368091856 and parameters: {'num_leaves': 139, 'max_depth': 3, 'learning_rate': 0.010295616250996792, 'n_estimators': 172, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.7820825869307768, 'reg_alpha': 0.5298988012222572, 'reg_lambda': 0.8637771402425197}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.872191562259038 LGBM Regressor: 2.841024882378437 LGBM Regressor: 2.8390214637639284 LGBM Regressor: 2.8426654524314086 LGBM Regressor: 2.843107621939122
[I 2022-11-03 03:05:10,194] Trial 446 finished with value: 2.840870102863743 and parameters: {'num_leaves': 148, 'max_depth': 4, 'learning_rate': 0.010815139008674509, 'n_estimators': 1466, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8015497446688221, 'reg_alpha': 0.5645108521184403, 'reg_lambda': 0.8203999962347662}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8385310938058197 LGBM Regressor: 2.8779661924723863 LGBM Regressor: 2.878205162643786 LGBM Regressor: 2.87875328189861 LGBM Regressor: 2.879623138714388
[I 2022-11-03 03:05:13,776] Trial 447 finished with value: 2.8783627571175723 and parameters: {'num_leaves': 116, 'max_depth': 3, 'learning_rate': 0.010009961904723735, 'n_estimators': 112, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.7845579274829033, 'reg_alpha': 0.5073043789891352, 'reg_lambda': 0.782725351750149}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8772660098586917 LGBM Regressor: 2.873992831143832 LGBM Regressor: 2.873383430692344 LGBM Regressor: 2.8740940229567054 LGBM Regressor: 2.8744189760055936
[I 2022-11-03 03:05:20,030] Trial 448 finished with value: 2.8735779934005246 and parameters: {'num_leaves': 139, 'max_depth': 4, 'learning_rate': 0.010918722319851921, 'n_estimators': 107, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8346020727453014, 'reg_alpha': 0.5715289208318902, 'reg_lambda': 0.8484311034823834}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.872000706204148 LGBM Regressor: 2.871455371606877 LGBM Regressor: 2.8723884104898865 LGBM Regressor: 2.8726393348149313 LGBM Regressor: 2.8736992549793556
[I 2022-11-03 03:05:26,733] Trial 449 finished with value: 2.8721779814986124 and parameters: {'num_leaves': 144, 'max_depth': 3, 'learning_rate': 0.010390552117771493, 'n_estimators': 189, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.8047889649041748, 'reg_alpha': 0.5451808857443354, 'reg_lambda': 0.8051018928079966}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8707075356020124 LGBM Regressor: 2.417452730443121 LGBM Regressor: 2.4175929055591068 LGBM Regressor: 2.4182585661421823 LGBM Regressor: 2.4174154639400705
[I 2022-11-03 03:05:33,011] Trial 450 finished with value: 2.4174475611082213 and parameters: {'num_leaves': 127, 'max_depth': 4, 'learning_rate': 0.01118527440837548, 'n_estimators': 109, 'class_weight': None, 'min_child_samples': 26, 'min_child_weight': 0.77672070942432, 'reg_alpha': 0.5263955252498405, 'reg_lambda': 0.9044131881047514}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.4165181394566253 LGBM Regressor: 2.867995278522348 LGBM Regressor: 2.867525403033693 LGBM Regressor: 2.8693556433221103 LGBM Regressor: 2.8702514767018763
[I 2022-11-03 03:05:41,480] Trial 451 finished with value: 2.8682851441958093 and parameters: {'num_leaves': 110, 'max_depth': 3, 'learning_rate': 0.01001794449195045, 'n_estimators': 276, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.8442907921182896, 'reg_alpha': 0.5835360960488699, 'reg_lambda': 0.8352143682758029}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8662979193990186 LGBM Regressor: 2.8696089453604 LGBM Regressor: 2.8689516736610017 LGBM Regressor: 2.8700540024298262 LGBM Regressor: 2.8703272413298473
[I 2022-11-03 03:05:48,928] Trial 452 finished with value: 2.8692843537858885 and parameters: {'num_leaves': 137, 'max_depth': 4, 'learning_rate': 0.010672854655724645, 'n_estimators': 147, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.8154823571726328, 'reg_alpha': 0.4866573352168006, 'reg_lambda': 0.7896300210689411}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.867479906148368 LGBM Regressor: 2.8774809602668165 LGBM Regressor: 2.877867739487354 LGBM Regressor: 2.8783138204200918 LGBM Regressor: 2.879191884812222
[I 2022-11-03 03:05:53,148] Trial 453 finished with value: 2.877940403157492 and parameters: {'num_leaves': 144, 'max_depth': 3, 'learning_rate': 0.011215412919248964, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8631232563720466, 'reg_alpha': 0.5534001985516535, 'reg_lambda': 0.9487752852575569}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8768476108009757 LGBM Regressor: 2.850995570545248 LGBM Regressor: 2.8501370154464687 LGBM Regressor: 2.8517948106411604 LGBM Regressor: 2.8528417732404145
[I 2022-11-03 03:06:28,664] Trial 454 finished with value: 2.85076035747613 and parameters: {'num_leaves': 125, 'max_depth': 3, 'learning_rate': 0.010609041898669323, 'n_estimators': 1333, 'class_weight': 'balanced', 'min_child_samples': 27, 'min_child_weight': 0.8325037383944117, 'reg_alpha': 0.518943345964619, 'reg_lambda': 0.8749360818409663}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8480326175073594 LGBM Regressor: 2.8842829557270426 LGBM Regressor: 2.8845327672437473 LGBM Regressor: 2.8847958962012528 LGBM Regressor: 2.8854739280960646
[I 2022-11-03 03:06:30,847] Trial 455 finished with value: 2.8845747604666263 and parameters: {'num_leaves': 136, 'max_depth': 3, 'learning_rate': 0.011287044347654908, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.7920575424287454, 'reg_alpha': 0.574597459690542, 'reg_lambda': 0.8034008412383976}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.883788255065024 LGBM Regressor: 2.8704611882708853 LGBM Regressor: 2.8709525911948486 LGBM Regressor: 2.8719364661096316 LGBM Regressor: 2.8728391112628326
[I 2022-11-03 03:06:38,554] Trial 456 finished with value: 2.8712154084263792 and parameters: {'num_leaves': 147, 'max_depth': 3, 'learning_rate': 0.011129384204627817, 'n_estimators': 193, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.7652831157408742, 'reg_alpha': 0.5742539718840967, 'reg_lambda': 0.8066703739170668}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.869887685293699 LGBM Regressor: 2.8748507461925508 LGBM Regressor: 2.87423903483476 LGBM Regressor: 2.874973312739364 LGBM Regressor: 2.8750865867360287
[I 2022-11-03 03:06:42,980] Trial 457 finished with value: 2.8743760800898066 and parameters: {'num_leaves': 132, 'max_depth': 4, 'learning_rate': 0.010437055014578811, 'n_estimators': 106, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.8048689671138217, 'reg_alpha': 0.5505308577383481, 'reg_lambda': 0.715045188470335}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.872730719946329 LGBM Regressor: 2.885012764821513 LGBM Regressor: 2.8852623001229536 LGBM Regressor: 2.885531054077466 LGBM Regressor: 2.8862098183061176
[I 2022-11-03 03:06:45,429] Trial 458 finished with value: 2.885324254992576 and parameters: {'num_leaves': 137, 'max_depth': 3, 'learning_rate': 0.010869512150018985, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.7906247104405812, 'reg_alpha': 0.6140811719454313, 'reg_lambda': 0.7769885295011649}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.884605337634831 LGBM Regressor: 2.873300172860153 LGBM Regressor: 2.8735933091975108 LGBM Regressor: 2.8741223082530514 LGBM Regressor: 2.8751917177447304
[I 2022-11-03 03:06:51,034] Trial 459 finished with value: 2.8737756324366703 and parameters: {'num_leaves': 134, 'max_depth': 3, 'learning_rate': 0.01075839461720619, 'n_estimators': 158, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.7942780098768235, 'reg_alpha': 0.6108486372931143, 'reg_lambda': 0.7738967228391102}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8726706541279072 LGBM Regressor: 2.877560398382027 LGBM Regressor: 2.8778943275826046 LGBM Regressor: 2.8784624884422816 LGBM Regressor: 2.8793097685736844
[I 2022-11-03 03:06:54,640] Trial 460 finished with value: 2.8780415729643045 and parameters: {'num_leaves': 136, 'max_depth': 3, 'learning_rate': 0.011440690386304048, 'n_estimators': 101, 'class_weight': 'balanced', 'min_child_samples': 20, 'min_child_weight': 0.7673056916610993, 'reg_alpha': 0.6031627296344898, 'reg_lambda': 0.7928586143519503}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8769808818409266 LGBM Regressor: 2.869662086601505 LGBM Regressor: 2.870050650792545 LGBM Regressor: 2.8710191200296387 LGBM Regressor: 2.872239267967145
[I 2022-11-03 03:07:02,923] Trial 461 finished with value: 2.8704025703939915 and parameters: {'num_leaves': 142, 'max_depth': 3, 'learning_rate': 0.010959972151663042, 'n_estimators': 211, 'class_weight': 'balanced', 'min_child_samples': 23, 'min_child_weight': 0.7798348122482353, 'reg_alpha': 0.5870353280449343, 'reg_lambda': 0.7734218553266905}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8690417265791255 LGBM Regressor: 2.8584198176768414 LGBM Regressor: 2.857631881454957 LGBM Regressor: 2.8590376984050763 LGBM Regressor: 2.8593946605652825
[I 2022-11-03 03:07:17,840] Trial 462 finished with value: 2.858122840685584 and parameters: {'num_leaves': 145, 'max_depth': 4, 'learning_rate': 0.010328191770245455, 'n_estimators': 348, 'class_weight': 'balanced', 'min_child_samples': 21, 'min_child_weight': 0.7914759138171241, 'reg_alpha': 0.45365375261920443, 'reg_lambda': 0.7363690573916288}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8561301453257646 LGBM Regressor: 2.8792484054128136 LGBM Regressor: 2.8794549362758564 LGBM Regressor: 2.8799275885056845 LGBM Regressor: 2.8807235590136893
[I 2022-11-03 03:07:21,163] Trial 463 finished with value: 2.879578528320365 and parameters: {'num_leaves': 127, 'max_depth': 3, 'learning_rate': 0.010037483534294598, 'n_estimators': 100, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.8231649434990355, 'reg_alpha': 0.5689943596200836, 'reg_lambda': 0.8365452325967001}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8785381523937823 LGBM Regressor: 2.877601592396342 LGBM Regressor: 2.877979380410386 LGBM Regressor: 2.8785138022349965 LGBM Regressor: 2.879370322082768
[I 2022-11-03 03:07:24,102] Trial 464 finished with value: 2.878103045370185 and parameters: {'num_leaves': 128, 'max_depth': 3, 'learning_rate': 0.01150428844396637, 'n_estimators': 100, 'class_weight': 'balanced', 'min_child_samples': 26, 'min_child_weight': 0.8241855013496628, 'reg_alpha': 0.5850519369342486, 'reg_lambda': 0.8366797790106201}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8770501297264324 LGBM Regressor: 2.870685324494409 LGBM Regressor: 2.869866303989804 LGBM Regressor: 2.8706676567384806 LGBM Regressor: 2.8710600932559798
[I 2022-11-03 03:07:31,900] Trial 465 finished with value: 2.870137410969835 and parameters: {'num_leaves': 124, 'max_depth': 4, 'learning_rate': 0.01000652406182609, 'n_estimators': 148, 'class_weight': 'balanced', 'min_child_samples': 27, 'min_child_weight': 0.8500709995618666, 'reg_alpha': 0.6218441985677969, 'reg_lambda': 0.8535355287900741}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8684076763705044 LGBM Regressor: 2.8841790072668836 LGBM Regressor: 2.8844174782748304 LGBM Regressor: 2.884698082388286 LGBM Regressor: 2.8853823012255546
[I 2022-11-03 03:07:34,244] Trial 466 finished with value: 2.8844699969873906 and parameters: {'num_leaves': 134, 'max_depth': 3, 'learning_rate': 0.01083054271342508, 'n_estimators': 56, 'class_weight': 'balanced', 'min_child_samples': 24, 'min_child_weight': 0.8759466837423301, 'reg_alpha': 0.5312516074420369, 'reg_lambda': 0.8928140741827424}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.883673115781398 LGBM Regressor: 2.8846654279757202 LGBM Regressor: 2.8849121240724416 LGBM Regressor: 2.885217111482414 LGBM Regressor: 2.8858101450968547
[I 2022-11-03 03:07:36,815] Trial 467 finished with value: 2.88496636828538 and parameters: {'num_leaves': 132, 'max_depth': 3, 'learning_rate': 0.01115122647725442, 'n_estimators': 51, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.8824730610977849, 'reg_alpha': 0.505649581363455, 'reg_lambda': 0.8709251714935312}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8842270327994695 LGBM Regressor: 2.872268219313998 LGBM Regressor: 2.8728758491247857 LGBM Regressor: 2.8735255417457237 LGBM Regressor: 2.8745541287499923
[I 2022-11-03 03:07:44,687] Trial 468 finished with value: 2.8729986993780834 and parameters: {'num_leaves': 128, 'max_depth': 3, 'learning_rate': 0.011523204976711367, 'n_estimators': 157, 'class_weight': 'balanced', 'min_child_samples': 25, 'min_child_weight': 0.8746326052688819, 'reg_alpha': 0.47055102321520925, 'reg_lambda': 0.9317516277541525}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8717697579559163 LGBM Regressor: 2.884381348898266 LGBM Regressor: 2.8846329821167833 LGBM Regressor: 2.8849675294395496 LGBM Regressor: 2.885535735872534
[I 2022-11-03 03:07:47,127] Trial 469 finished with value: 2.884686242933172 and parameters: {'num_leaves': 131, 'max_depth': 3, 'learning_rate': 0.011136599560084412, 'n_estimators': 53, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8867996711311975, 'reg_alpha': 0.5027926803419719, 'reg_lambda': 0.8801319342300712}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.883913618338728 LGBM Regressor: 2.4235234754998163 LGBM Regressor: 2.423873774234838 LGBM Regressor: 2.4242750493243572 LGBM Regressor: 2.4238660292345773
[I 2022-11-03 03:07:49,602] Trial 470 finished with value: 2.4238154822097915 and parameters: {'num_leaves': 135, 'max_depth': 4, 'learning_rate': 0.010853272855159638, 'n_estimators': 51, 'class_weight': None, 'min_child_samples': 31, 'min_child_weight': 0.8845254141477884, 'reg_alpha': 0.49377636475169867, 'reg_lambda': 0.8905728616414018}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.4235390827553682 LGBM Regressor: 2.8850675831727126 LGBM Regressor: 2.8853062295194714 LGBM Regressor: 2.8856203111602152 LGBM Regressor: 2.8862531369918902
[I 2022-11-03 03:07:51,687] Trial 471 finished with value: 2.885381841570281 and parameters: {'num_leaves': 132, 'max_depth': 3, 'learning_rate': 0.01079151426597557, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8876483762636745, 'reg_alpha': 0.5110002728532386, 'reg_lambda': 0.8956309601767384}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.884661947007118 LGBM Regressor: 2.8608416092296918 LGBM Regressor: 2.8604400960388694 LGBM Regressor: 2.862299025346638 LGBM Regressor: 2.863277523565075
[I 2022-11-03 03:08:07,746] Trial 472 finished with value: 2.861016234479677 and parameters: {'num_leaves': 131, 'max_depth': 3, 'learning_rate': 0.010744502211289966, 'n_estimators': 519, 'class_weight': 'balanced', 'min_child_samples': 31, 'min_child_weight': 0.8838860317175797, 'reg_alpha': 0.5105064820340375, 'reg_lambda': 0.8923090414617161}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.858222918218112 LGBM Regressor: 2.884876556543718 LGBM Regressor: 2.8850985943551195 LGBM Regressor: 2.885414420362798 LGBM Regressor: 2.8860095407112607
[I 2022-11-03 03:08:10,306] Trial 473 finished with value: 2.8851714682615546 and parameters: {'num_leaves': 132, 'max_depth': 3, 'learning_rate': 0.011112596355936356, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8629273265509695, 'reg_alpha': 0.4764298029836026, 'reg_lambda': 0.8671558938481722}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.884458229334879 LGBM Regressor: 2.868432604019211 LGBM Regressor: 2.8680849863515174 LGBM Regressor: 2.869748881377424 LGBM Regressor: 2.870662798840484
[I 2022-11-03 03:08:18,927] Trial 474 finished with value: 2.868757925369037 and parameters: {'num_leaves': 133, 'max_depth': 3, 'learning_rate': 0.011194984031498772, 'n_estimators': 237, 'class_weight': 'balanced', 'min_child_samples': 32, 'min_child_weight': 0.8833592031231577, 'reg_alpha': 0.46638595495929985, 'reg_lambda': 0.8750338698510902}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.866860356256547 LGBM Regressor: 2.8848424669165587 LGBM Regressor: 2.8850490527989856 LGBM Regressor: 2.8853670935374063 LGBM Regressor: 2.8859570885626686
[I 2022-11-03 03:08:21,619] Trial 475 finished with value: 2.8851122937376594 and parameters: {'num_leaves': 129, 'max_depth': 3, 'learning_rate': 0.01118916732384444, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8783335963857697, 'reg_alpha': 0.4799331896183873, 'reg_lambda': 0.9081258283977378}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.884345766872677 LGBM Regressor: 2.8488051269238492 LGBM Regressor: 2.848260469504116 LGBM Regressor: 2.849987967751359 LGBM Regressor: 2.8511382474473232
[I 2022-11-03 03:09:02,038] Trial 476 finished with value: 2.848769966879469 and parameters: {'num_leaves': 137, 'max_depth': 3, 'learning_rate': 0.010774436739810978, 'n_estimators': 1620, 'class_weight': 'balanced', 'min_child_samples': 31, 'min_child_weight': 0.862104949087098, 'reg_alpha': 0.481271115871736, 'reg_lambda': 0.9009025853522785}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.845658022770696 LGBM Regressor: 2.8732106356143907 LGBM Regressor: 2.8736968522175954 LGBM Regressor: 2.8744385798466574 LGBM Regressor: 2.875365318072899
[I 2022-11-03 03:09:06,062] Trial 477 finished with value: 2.8739011010896314 and parameters: {'num_leaves': 131, 'max_depth': 3, 'learning_rate': 0.011113781495039998, 'n_estimators': 151, 'class_weight': 'balanced', 'min_child_samples': 29, 'min_child_weight': 0.8646039398525488, 'reg_alpha': 0.44231458199090057, 'reg_lambda': 0.9328900465529364}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8727941196966147 LGBM Regressor: 2.8852091800885367 LGBM Regressor: 2.8854773654045984 LGBM Regressor: 2.885753377560835 LGBM Regressor: 2.886382068675031
[I 2022-11-03 03:09:07,983] Trial 478 finished with value: 2.8855242204379 and parameters: {'num_leaves': 128, 'max_depth': 3, 'learning_rate': 0.010595831906919791, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.893432157109237, 'reg_alpha': 0.5016808974164744, 'reg_lambda': 0.8994257819252345}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8847991104605004 LGBM Regressor: 2.87794219611926 LGBM Regressor: 2.8783122552093983 LGBM Regressor: 2.878756242290421 LGBM Regressor: 2.879608472427813
[I 2022-11-03 03:09:11,070] Trial 479 finished with value: 2.8783881600176655 and parameters: {'num_leaves': 128, 'max_depth': 3, 'learning_rate': 0.010587201680588543, 'n_estimators': 106, 'class_weight': 'balanced', 'min_child_samples': 29, 'min_child_weight': 0.8852539050364525, 'reg_alpha': 0.4952300192785967, 'reg_lambda': 0.8983558341952814}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.877321634041435 LGBM Regressor: 2.8720592787957444 LGBM Regressor: 2.872417991580986 LGBM Regressor: 2.8730820187083803 LGBM Regressor: 2.8740440952639954
[I 2022-11-03 03:09:17,921] Trial 480 finished with value: 2.8725878475263493 and parameters: {'num_leaves': 132, 'max_depth': 3, 'learning_rate': 0.010488758428100353, 'n_estimators': 180, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8578367636724309, 'reg_alpha': 0.4311460753384369, 'reg_lambda': 0.9255121936332362}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.87133585328264 LGBM Regressor: 2.8821245859093163 LGBM Regressor: 2.8821368491662387 LGBM Regressor: 2.8823128501222204 LGBM Regressor: 2.8832074265415075
[I 2022-11-03 03:09:20,734] Trial 481 finished with value: 2.88221651607851 and parameters: {'num_leaves': 129, 'max_depth': 4, 'learning_rate': 0.010905906408648318, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8869835911879899, 'reg_alpha': 0.5080133073432767, 'reg_lambda': 0.8678742031340558}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8813008686532666 LGBM Regressor: 2.8742224220221377 LGBM Regressor: 2.8736790373594103 LGBM Regressor: 2.8745655773521492 LGBM Regressor: 2.87452629723052
[I 2022-11-03 03:09:27,033] Trial 482 finished with value: 2.873824131613712 and parameters: {'num_leaves': 129, 'max_depth': 4, 'learning_rate': 0.01052995429665523, 'n_estimators': 110, 'class_weight': 'balanced', 'min_child_samples': 31, 'min_child_weight': 0.8717064768241917, 'reg_alpha': 0.48220096732191575, 'reg_lambda': 0.8702488074171725}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8721273241043406 LGBM Regressor: 2.8583867577883026 LGBM Regressor: 2.8578263795533494 LGBM Regressor: 2.859526893751001 LGBM Regressor: 2.860295617709186
[I 2022-11-03 03:09:45,799] Trial 483 finished with value: 2.858274012932619 and parameters: {'num_leaves': 135, 'max_depth': 3, 'learning_rate': 0.011485569657895328, 'n_estimators': 624, 'class_weight': 'balanced', 'min_child_samples': 33, 'min_child_weight': 0.894189070361266, 'reg_alpha': 0.5006802414826339, 'reg_lambda': 0.8858542206548198}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.855334415861255 LGBM Regressor: 2.869427014085341 LGBM Regressor: 2.868805755648401 LGBM Regressor: 2.8697507960480793 LGBM Regressor: 2.870082409434002
[I 2022-11-03 03:09:53,272] Trial 484 finished with value: 2.869041049859547 and parameters: {'num_leaves': 124, 'max_depth': 4, 'learning_rate': 0.0108815431584704, 'n_estimators': 147, 'class_weight': 'balanced', 'min_child_samples': 31, 'min_child_weight': 0.8485700856837217, 'reg_alpha': 0.467831502392714, 'reg_lambda': 0.9105007441381663}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.867139274081913 LGBM Regressor: 2.8785177301634923 LGBM Regressor: 2.8787459925130867 LGBM Regressor: 2.8792086954408385 LGBM Regressor: 2.8800922442510912
[I 2022-11-03 03:09:56,637] Trial 485 finished with value: 2.87886465741178 and parameters: {'num_leaves': 127, 'max_depth': 3, 'learning_rate': 0.01049553673100593, 'n_estimators': 102, 'class_weight': 'balanced', 'min_child_samples': 29, 'min_child_weight': 0.871034290855159, 'reg_alpha': 0.5128001133310681, 'reg_lambda': 0.8723617705502731}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.877758624690392 LGBM Regressor: 2.8618665047798757 LGBM Regressor: 2.861213766039385 LGBM Regressor: 2.8623803975564925 LGBM Regressor: 2.862865110520665
[I 2022-11-03 03:10:06,627] Trial 486 finished with value: 2.861543901551342 and parameters: {'num_leaves': 133, 'max_depth': 4, 'learning_rate': 0.011485649530128011, 'n_estimators': 239, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8971838057336857, 'reg_alpha': 0.50933950333119, 'reg_lambda': 0.8967910322889002}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8593937288602924 LGBM Regressor: 2.8776092015304937 LGBM Regressor: 2.8779631687844462 LGBM Regressor: 2.8785196394592907 LGBM Regressor: 2.879367514754136
[I 2022-11-03 03:10:10,876] Trial 487 finished with value: 2.87809155223096 and parameters: {'num_leaves': 130, 'max_depth': 3, 'learning_rate': 0.01105643682256831, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8509503345251895, 'reg_alpha': 0.4770066898338883, 'reg_lambda': 0.9372538308196365}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.876998236626431 LGBM Regressor: 2.8719569606072204 LGBM Regressor: 2.872414660996402 LGBM Regressor: 2.873130918409148 LGBM Regressor: 2.8740931370695018
[I 2022-11-03 03:10:18,307] Trial 488 finished with value: 2.8725829892217614 and parameters: {'num_leaves': 137, 'max_depth': 3, 'learning_rate': 0.010518474054850051, 'n_estimators': 180, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8868669380960846, 'reg_alpha': 0.5295518207801675, 'reg_lambda': 0.8539995464507124}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8713192690265346 LGBM Regressor: 2.8814249811444355 LGBM Regressor: 2.8814523202042213 LGBM Regressor: 2.88180067570502 LGBM Regressor: 2.88249543623802
[I 2022-11-03 03:10:20,787] Trial 489 finished with value: 2.8815607030304626 and parameters: {'num_leaves': 133, 'max_depth': 4, 'learning_rate': 0.011685530325759958, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 32, 'min_child_weight': 0.8348124656662718, 'reg_alpha': 0.4439034930460846, 'reg_lambda': 0.8779706819032338}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.880630101860615 LGBM Regressor: 2.83581163874986 LGBM Regressor: 2.832441262525102 LGBM Regressor: 2.8375590156047323 LGBM Regressor: 2.8383383717650172
[I 2022-11-03 03:11:24,949] Trial 490 finished with value: 2.8356643959624153 and parameters: {'num_leaves': 130, 'max_depth': 4, 'learning_rate': 0.011717904012179817, 'n_estimators': 2165, 'class_weight': 'balanced', 'min_child_samples': 33, 'min_child_weight': 0.8666228102091034, 'reg_alpha': 0.45037888189145175, 'reg_lambda': 0.9122419722063239}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8341716911673656 LGBM Regressor: 2.4231775995829765 LGBM Regressor: 2.4230757409288772 LGBM Regressor: 2.4240903164664793 LGBM Regressor: 2.422993061252471
[I 2022-11-03 03:11:27,677] Trial 491 finished with value: 2.4232281133582285 and parameters: {'num_leaves': 134, 'max_depth': 4, 'learning_rate': 0.011790526099382196, 'n_estimators': 52, 'class_weight': None, 'min_child_samples': 34, 'min_child_weight': 0.8944537936073376, 'reg_alpha': 0.4990242505855815, 'reg_lambda': 0.8850108595264112}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.422803848560336 LGBM Regressor: 2.8819079206591263 LGBM Regressor: 2.8819060286232685 LGBM Regressor: 2.8821246450627243 LGBM Regressor: 2.883033676062862
[I 2022-11-03 03:11:30,212] Trial 492 finished with value: 2.882031113456317 and parameters: {'num_leaves': 138, 'max_depth': 4, 'learning_rate': 0.011164291164521516, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 31, 'min_child_weight': 0.8358227234850382, 'reg_alpha': 0.4505677664355565, 'reg_lambda': 0.8671268009982757}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.881183296873604 LGBM Regressor: 2.8684981839926786 LGBM Regressor: 2.868182708519036 LGBM Regressor: 2.8692733817205913 LGBM Regressor: 2.869451076479501
[I 2022-11-03 03:11:38,696] Trial 493 finished with value: 2.868386725126264 and parameters: {'num_leaves': 138, 'max_depth': 4, 'learning_rate': 0.01120881499460383, 'n_estimators': 150, 'class_weight': 'balanced', 'min_child_samples': 32, 'min_child_weight': 0.8562438875929865, 'reg_alpha': 0.44643230814743035, 'reg_lambda': 0.8763378825757799}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8665282749195136 LGBM Regressor: 2.844435312812924 LGBM Regressor: 2.841471518793969 LGBM Regressor: 2.8450118968368634 LGBM Regressor: 2.8456139629108437
[I 2022-11-03 03:12:13,515] Trial 494 finished with value: 2.843404496923539 and parameters: {'num_leaves': 140, 'max_depth': 4, 'learning_rate': 0.011834940662771735, 'n_estimators': 1104, 'class_weight': 'balanced', 'min_child_samples': 33, 'min_child_weight': 0.8393668624475399, 'reg_alpha': 0.4099811876951715, 'reg_lambda': 0.9563422509292172}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8404897932630915 LGBM Regressor: 2.874347742254503 LGBM Regressor: 2.873618782323375 LGBM Regressor: 2.87448780922193 LGBM Regressor: 2.8746170785036718
[I 2022-11-03 03:12:18,580] Trial 495 finished with value: 2.873899226982661 and parameters: {'num_leaves': 133, 'max_depth': 4, 'learning_rate': 0.011090429685341099, 'n_estimators': 104, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8315869717028617, 'reg_alpha': 0.4630263748696432, 'reg_lambda': 0.8639870410117033}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.872424722609824 LGBM Regressor: 2.869187403191967 LGBM Regressor: 2.8692912738996785 LGBM Regressor: 2.870664828168783 LGBM Regressor: 2.87142093469948
[I 2022-11-03 03:12:26,463] Trial 496 finished with value: 2.8696804205414974 and parameters: {'num_leaves': 134, 'max_depth': 3, 'learning_rate': 0.011553023667003079, 'n_estimators': 212, 'class_weight': 'balanced', 'min_child_samples': 32, 'min_child_weight': 0.8739683986242004, 'reg_alpha': 0.47906868214115905, 'reg_lambda': 0.896830968592872}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.867837662747577 LGBM Regressor: 2.866494152395207 LGBM Regressor: 2.866444052452922 LGBM Regressor: 2.8682921096189498 LGBM Regressor: 2.8690943225234036
[I 2022-11-03 03:12:36,018] Trial 497 finished with value: 2.8670770347556487 and parameters: {'num_leaves': 137, 'max_depth': 3, 'learning_rate': 0.01089899205618362, 'n_estimators': 286, 'class_weight': 'balanced', 'min_child_samples': 31, 'min_child_weight': 0.8527115699508163, 'reg_alpha': 0.4898118120250035, 'reg_lambda': 0.9779982479340456}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8650605367877624 LGBM Regressor: 2.8851320421277604 LGBM Regressor: 2.8853692159554094 LGBM Regressor: 2.885689837606201 LGBM Regressor: 2.886308641866706
[I 2022-11-03 03:12:38,711] Trial 498 finished with value: 2.8854444704424207 and parameters: {'num_leaves': 132, 'max_depth': 3, 'learning_rate': 0.010699063048962018, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.8812473052294222, 'reg_alpha': 0.5140832559661409, 'reg_lambda': 0.9177354499362744}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.884722614656026 LGBM Regressor: 2.8739528487999357 LGBM Regressor: 2.874445710864629 LGBM Regressor: 2.8749279982378066 LGBM Regressor: 2.8758412293279507
[I 2022-11-03 03:12:45,303] Trial 499 finished with value: 2.8745106667662204 and parameters: {'num_leaves': 131, 'max_depth': 3, 'learning_rate': 0.01059816649889908, 'n_estimators': 151, 'class_weight': 'balanced', 'min_child_samples': 30, 'min_child_weight': 0.3033574599460076, 'reg_alpha': 0.43041241762620164, 'reg_lambda': 0.9256445579093113}. Best is trial 433 with value: 2.8858343690076387.
LGBM Regressor: 2.8733855466007783
score: 2.8858343690076387, params: {'num_leaves': 130, 'max_depth': 3, 'learning_rate': 0.010141772752671903, 'n_estimators': 50, 'class_weight': 'balanced', 'min_child_samples': 22, 'min_child_weight': 0.8349171816878965, 'reg_alpha': 0.485549031019017, 'reg_lambda': 0.8475060515511019}
optuna.visualization.plot_param_importances(lgb_roc_study) # 파라미터 중요도 확인 그래프
optuna.visualization.plot_optimization_history(lgb_roc_study) # 최적화 과정 시각화
# CatBoost_r
def cat_r_objective(trial):
param = {
'iterations': trial.suggest_int('max_leaves', 10, 150),
'depth': trial.suggest_int('depth', 5, 30),
'learning_rate': trial.suggest_loguniform("learning_rate", 0.01, 0.1)
}
fold = StratifiedKFold(n_splits=5, shuffle=True, random_state=SEED)
cv_scores = []
for train_idx, val_idx in fold.split(X_train, y_train):
X_tr, X_val = X_train.iloc[train_idx], X_train.iloc[val_idx]
y_tr, y_val = y_train.iloc[train_idx], y_train.iloc[val_idx]
model = CatBoostRegressor(**param, grow_policy='Lossguide', random_state=SEED, silent=True)
model.fit(X_tr, y_tr, eval_set=[(X_val, y_val)], early_stopping_rounds=50, verbose=False)
y_pred = model.predict(X_val)
score = rmse(y_val, y_pred)
print("CatBoost Regressor: ",score)
cv_scores.append(score)
return np.mean(cv_scores)
cat_roc_study = optuna.create_study(direction='maximize', sampler=optuna.samplers.TPESampler(seed=SEED))
cat_roc_study.optimize(cat_r_objective, n_trials=trials)
cat_roc_best = cat_roc_study.best_trial
cat_roc_best_params = cat_roc_best.params
model_scores['catb'] = cat_roc_best.value
model_params['catb'] = cat_roc_best_params
print('score: {0}, params: {1}'.format(cat_roc_best.value, cat_roc_best_params))
[I 2022-11-03 00:52:30,850] A new study created in memory with name: no-name-6cac2698-cd98-4bab-afd3-ec48373b3d98
CatBoost Regressor: 2.4203172118738667 CatBoost Regressor: 2.4207328436498545 CatBoost Regressor: 2.420617823483958 CatBoost Regressor: 2.420976727527521
[I 2022-11-03 00:52:41,672] Trial 0 finished with value: 2.420472945279792 and parameters: {'max_leaves': 50, 'depth': 22, 'learning_rate': 0.011332916993356774}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.4197201198637592 CatBoost Regressor: 2.4166282889611397 CatBoost Regressor: 2.4173344271381714 CatBoost Regressor: 2.417109175499168 CatBoost Regressor: 2.4176134176147746
[I 2022-11-03 00:52:49,604] Trial 1 finished with value: 2.4169722807781904 and parameters: {'max_leaves': 36, 'depth': 22, 'learning_rate': 0.02380942778329892}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.4161760946776982 CatBoost Regressor: 2.4047391117322454 CatBoost Regressor: 2.4048480737627487 CatBoost Regressor: 2.4053858685030503 CatBoost Regressor: 2.405599778036442
[I 2022-11-03 00:53:01,405] Trial 2 finished with value: 2.404811556900635 and parameters: {'max_leaves': 55, 'depth': 26, 'learning_rate': 0.06318029125054338}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.4034849524686877 CatBoost Regressor: 2.4006167073523472 CatBoost Regressor: 2.399749302727278 CatBoost Regressor: 2.4017866162454533 CatBoost Regressor: 2.4011023925719965
[I 2022-11-03 00:53:21,293] Trial 3 finished with value: 2.400464959515697 and parameters: {'max_leaves': 105, 'depth': 30, 'learning_rate': 0.06855496343839224}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.3990697786814104 CatBoost Regressor: 2.4115870742648338 CatBoost Regressor: 2.4119691521285005 CatBoost Regressor: 2.412281116261281 CatBoost Regressor: 2.411670050049987
[I 2022-11-03 00:53:28,819] Trial 4 finished with value: 2.411632274870718 and parameters: {'max_leaves': 35, 'depth': 11, 'learning_rate': 0.043734511330937656}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.410653981648989 CatBoost Regressor: 2.41904618836657 CatBoost Regressor: 2.4194973142685816 CatBoost Regressor: 2.419262553929738 CatBoost Regressor: 2.420080946387035
[I 2022-11-03 00:53:35,588] Trial 5 finished with value: 2.4192458973921225 and parameters: {'max_leaves': 30, 'depth': 20, 'learning_rate': 0.021365632369356725}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.418342484008687 CatBoost Regressor: 2.4159987693852574 CatBoost Regressor: 2.41631325711146 CatBoost Regressor: 2.4164303035666923 CatBoost Regressor: 2.4169074436685114
[I 2022-11-03 00:53:54,168] Trial 6 finished with value: 2.416173653964081 and parameters: {'max_leaves': 86, 'depth': 11, 'learning_rate': 0.010723404527557604}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.4152184960884817 CatBoost Regressor: 2.3997866299716377 CatBoost Regressor: 2.3986903082885886 CatBoost Regressor: 2.4007220839852663 CatBoost Regressor: 2.4007611286133335
[I 2022-11-03 00:54:18,161] Trial 7 finished with value: 2.3996518661628876 and parameters: {'max_leaves': 130, 'depth': 20, 'learning_rate': 0.06687970278465766}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.398299179955612 CatBoost Regressor: 2.40070340004811 CatBoost Regressor: 2.4000163973563824 CatBoost Regressor: 2.4019547029019543 CatBoost Regressor: 2.4011881624870126
[I 2022-11-03 00:54:46,087] Trial 8 finished with value: 2.4006189869548984 and parameters: {'max_leaves': 150, 'depth': 19, 'learning_rate': 0.04677783160739405}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.3992322719810337 CatBoost Regressor: 2.4059679426662766 CatBoost Regressor: 2.405569803614745 CatBoost Regressor: 2.4064289538580317 CatBoost Regressor: 2.4059449911293447
[I 2022-11-03 00:55:11,269] Trial 9 finished with value: 2.4056616800142256 and parameters: {'max_leaves': 128, 'depth': 26, 'learning_rate': 0.024354398404090722}. Best is trial 0 with value: 2.420472945279792.
CatBoost Regressor: 2.4043967088027323 CatBoost Regressor: 2.4297538649213086 CatBoost Regressor: 2.4297133262812447 CatBoost Regressor: 2.4296425763573537 CatBoost Regressor: 2.429597073374198
[I 2022-11-03 00:55:13,639] Trial 10 finished with value: 2.4296208468724356 and parameters: {'max_leaves': 12, 'depth': 6, 'learning_rate': 0.01000849785576257}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.429397393428072 CatBoost Regressor: 2.428536860144838 CatBoost Regressor: 2.428515559437974 CatBoost Regressor: 2.4284354524389946 CatBoost Regressor: 2.4283529310644014
[I 2022-11-03 00:55:16,402] Trial 11 finished with value: 2.4283561897461707 and parameters: {'max_leaves': 17, 'depth': 5, 'learning_rate': 0.011243272727326677}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4279401456446457 CatBoost Regressor: 2.4290670382871524 CatBoost Regressor: 2.429049706118955 CatBoost Regressor: 2.4289595869131744 CatBoost Regressor: 2.4289653631112578
[I 2022-11-03 00:55:18,356] Trial 12 finished with value: 2.4289139381802123 and parameters: {'max_leaves': 11, 'depth': 5, 'learning_rate': 0.014948019563123234}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4285279964705206 CatBoost Regressor: 2.4285555761525113 CatBoost Regressor: 2.4285544134488295 CatBoost Regressor: 2.428510571443927 CatBoost Regressor: 2.4284592531131177
[I 2022-11-03 00:55:20,562] Trial 13 finished with value: 2.428435792626381 and parameters: {'max_leaves': 12, 'depth': 5, 'learning_rate': 0.015612430621805269}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.428099148973519 CatBoost Regressor: 2.4173431869954882 CatBoost Regressor: 2.417417447645531 CatBoost Regressor: 2.4174063498772975 CatBoost Regressor: 2.4175527603879257
[I 2022-11-03 00:55:31,615] Trial 14 finished with value: 2.41722816412154 and parameters: {'max_leaves': 51, 'depth': 10, 'learning_rate': 0.015995308717260966}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4164210757014595 CatBoost Regressor: 2.414028806921379 CatBoost Regressor: 2.414373171320607 CatBoost Regressor: 2.414447105740056 CatBoost Regressor: 2.4144955094908056
[I 2022-11-03 00:55:47,227] Trial 15 finished with value: 2.4140836316507714 and parameters: {'max_leaves': 74, 'depth': 15, 'learning_rate': 0.015811936880913403}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.41307356478101 CatBoost Regressor: 2.401584545210381 CatBoost Regressor: 2.400769399395695 CatBoost Regressor: 2.402275296412773 CatBoost Regressor: 2.40205329325654
[I 2022-11-03 00:56:01,322] Trial 16 finished with value: 2.4012121664914075 and parameters: {'max_leaves': 72, 'depth': 8, 'learning_rate': 0.09882383517680166}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.3993782981816474 CatBoost Regressor: 2.418002964936494 CatBoost Regressor: 2.418426020987043 CatBoost Regressor: 2.4185144754678296 CatBoost Regressor: 2.4189895372769605
[I 2022-11-03 00:56:06,448] Trial 17 finished with value: 2.418303687632782 and parameters: {'max_leaves': 22, 'depth': 14, 'learning_rate': 0.0325312246103575}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.417585439495584 CatBoost Regressor: 2.4282240258367094 CatBoost Regressor: 2.4280088643673063 CatBoost Regressor: 2.4281206196828093 CatBoost Regressor: 2.428064309716405
[I 2022-11-03 00:56:09,130] Trial 18 finished with value: 2.4280325052150666 and parameters: {'max_leaves': 12, 'depth': 8, 'learning_rate': 0.014178051773556324}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.427744706472102 CatBoost Regressor: 2.409708858949191 CatBoost Regressor: 2.409923398614985 CatBoost Regressor: 2.4103072411577084 CatBoost Regressor: 2.410043954043431
[I 2022-11-03 00:56:28,836] Trial 19 finished with value: 2.4097151132447316 and parameters: {'max_leaves': 98, 'depth': 15, 'learning_rate': 0.019603180629477485}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4085921134583415 CatBoost Regressor: 2.420061140703876 CatBoost Regressor: 2.4200841019919217 CatBoost Regressor: 2.420235446186846 CatBoost Regressor: 2.420448638748539
[I 2022-11-03 00:56:41,312] Trial 20 finished with value: 2.4199887193288063 and parameters: {'max_leaves': 61, 'depth': 7, 'learning_rate': 0.010079243960314104}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4191142690128493 CatBoost Regressor: 2.429530665642273 CatBoost Regressor: 2.4295108531596568 CatBoost Regressor: 2.429400571158518 CatBoost Regressor: 2.4294051968483803
[I 2022-11-03 00:56:43,506] Trial 21 finished with value: 2.429383171691544 and parameters: {'max_leaves': 11, 'depth': 5, 'learning_rate': 0.013108456985899391}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.429068571648892 CatBoost Regressor: 2.4253177639344328 CatBoost Regressor: 2.425303561118596 CatBoost Regressor: 2.4250662391710067 CatBoost Regressor: 2.4251255828466163
[I 2022-11-03 00:56:48,172] Trial 22 finished with value: 2.425028000456023 and parameters: {'max_leaves': 29, 'depth': 5, 'learning_rate': 0.013052408076017015}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.424326855209463 CatBoost Regressor: 2.417728453004669 CatBoost Regressor: 2.418236903232082 CatBoost Regressor: 2.417869914793442 CatBoost Regressor: 2.4183301543205498
[I 2022-11-03 00:56:56,997] Trial 23 finished with value: 2.4178743506357163 and parameters: {'max_leaves': 42, 'depth': 9, 'learning_rate': 0.018251977199980222}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4172063278278393 CatBoost Regressor: 2.425071196277172 CatBoost Regressor: 2.4250379105136552 CatBoost Regressor: 2.425331294707694 CatBoost Regressor: 2.425508054853902
[I 2022-11-03 00:57:02,121] Trial 24 finished with value: 2.4251316939250005 and parameters: {'max_leaves': 23, 'depth': 12, 'learning_rate': 0.01286601880236254}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.424710013272579 CatBoost Regressor: 2.424930322861685 CatBoost Regressor: 2.424684232472714 CatBoost Regressor: 2.4249917668805336 CatBoost Regressor: 2.425133451335253
[I 2022-11-03 00:57:04,527] Trial 25 finished with value: 2.4247756118405213 and parameters: {'max_leaves': 11, 'depth': 7, 'learning_rate': 0.029028460018623897}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.424138285652421 CatBoost Regressor: 2.4208290985289382 CatBoost Regressor: 2.421300203206711 CatBoost Regressor: 2.4211012605027142 CatBoost Regressor: 2.4217427686626958
[I 2022-11-03 00:57:13,380] Trial 26 finished with value: 2.4210681821274185 and parameters: {'max_leaves': 41, 'depth': 13, 'learning_rate': 0.012965866491121676}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4203675797360313 CatBoost Regressor: 2.427068983674229 CatBoost Regressor: 2.427112206770223 CatBoost Regressor: 2.4270451285564882 CatBoost Regressor: 2.4270080771445572
[I 2022-11-03 00:57:17,747] Trial 27 finished with value: 2.42697781287718 and parameters: {'max_leaves': 23, 'depth': 6, 'learning_rate': 0.010193292082201691}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.426654668240405 CatBoost Regressor: 2.4278741415971345 CatBoost Regressor: 2.4278954341763708 CatBoost Regressor: 2.427997603583871 CatBoost Regressor: 2.428077727407792
[I 2022-11-03 00:57:20,156] Trial 28 finished with value: 2.4278509498700944 and parameters: {'max_leaves': 10, 'depth': 10, 'learning_rate': 0.017731597249868197}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4274098425853037 CatBoost Regressor: 2.4177684708573453 CatBoost Regressor: 2.418409472857305 CatBoost Regressor: 2.41805202875447 CatBoost Regressor: 2.418251256915814
[I 2022-11-03 00:57:33,196] Trial 29 finished with value: 2.4179041841324294 and parameters: {'max_leaves': 61, 'depth': 17, 'learning_rate': 0.01251401070590617}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.417039691277212 CatBoost Regressor: 2.413167092784827 CatBoost Regressor: 2.4128624472043962 CatBoost Regressor: 2.413357714254728 CatBoost Regressor: 2.413072229867661
[I 2022-11-03 00:57:42,340] Trial 30 finished with value: 2.412907530171587 and parameters: {'max_leaves': 44, 'depth': 7, 'learning_rate': 0.032023685607095786}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4120781667463236 CatBoost Regressor: 2.426369347239344 CatBoost Regressor: 2.426439363005611 CatBoost Regressor: 2.426306182101742 CatBoost Regressor: 2.4262038151198517
[I 2022-11-03 00:57:45,821] Trial 31 finished with value: 2.4261724155363664 and parameters: {'max_leaves': 20, 'depth': 5, 'learning_rate': 0.015343638625397492}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4255433702152827 CatBoost Regressor: 2.423776911970404 CatBoost Regressor: 2.4238676597303015 CatBoost Regressor: 2.423734192807599 CatBoost Regressor: 2.42424887326238
[I 2022-11-03 00:57:52,338] Trial 32 finished with value: 2.423728949986592 and parameters: {'max_leaves': 31, 'depth': 9, 'learning_rate': 0.011829275025324179}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.423017112162275 CatBoost Regressor: 2.4278329191162666 CatBoost Regressor: 2.4278343433133727 CatBoost Regressor: 2.427671292471065 CatBoost Regressor: 2.4277583699216376
[I 2022-11-03 00:57:54,529] Trial 33 finished with value: 2.427631906611512 and parameters: {'max_leaves': 10, 'depth': 5, 'learning_rate': 0.022787723111428734}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4270626082352202 CatBoost Regressor: 2.423480602363684 CatBoost Regressor: 2.4234634458125925 CatBoost Regressor: 2.423367514541403 CatBoost Regressor: 2.4236443363757982
[I 2022-11-03 00:58:00,452] Trial 34 finished with value: 2.4233222577195637 and parameters: {'max_leaves': 27, 'depth': 7, 'learning_rate': 0.014908540959845345}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4226553895043406 CatBoost Regressor: 2.425061499341 CatBoost Regressor: 2.4249094255193935 CatBoost Regressor: 2.425086084645321 CatBoost Regressor: 2.4251478781747045
[I 2022-11-03 00:58:03,768] Trial 35 finished with value: 2.4248808219176174 and parameters: {'max_leaves': 18, 'depth': 6, 'learning_rate': 0.018902203991651996}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.424199221907669 CatBoost Regressor: 2.4150970951632362 CatBoost Regressor: 2.41556820379325 CatBoost Regressor: 2.415744584631781 CatBoost Regressor: 2.415913352776769
[I 2022-11-03 00:58:11,972] Trial 36 finished with value: 2.4153266467050334 and parameters: {'max_leaves': 38, 'depth': 24, 'learning_rate': 0.026776498870636066}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4143099971601294 CatBoost Regressor: 2.4098517801065023 CatBoost Regressor: 2.409968740287415 CatBoost Regressor: 2.4108612734789916 CatBoost Regressor: 2.4100373500622485
[I 2022-11-03 00:58:22,420] Trial 37 finished with value: 2.4098203907421754 and parameters: {'max_leaves': 48, 'depth': 30, 'learning_rate': 0.0394704778880746}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4083828097757207 CatBoost Regressor: 2.4201602712255705 CatBoost Regressor: 2.420669313362371 CatBoost Regressor: 2.420569994320471 CatBoost Regressor: 2.4208771403798734
[I 2022-11-03 00:58:29,960] Trial 38 finished with value: 2.4203502528000467 and parameters: {'max_leaves': 34, 'depth': 9, 'learning_rate': 0.01673497428954657}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.419474544711948 CatBoost Regressor: 2.4262607289882583 CatBoost Regressor: 2.4262980347004075 CatBoost Regressor: 2.42653045483774 CatBoost Regressor: 2.4265268236705637
[I 2022-11-03 00:58:33,981] Trial 39 finished with value: 2.4263227404913392 and parameters: {'max_leaves': 17, 'depth': 11, 'learning_rate': 0.014165274562166569}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.425997660259725 CatBoost Regressor: 2.4204888127468607 CatBoost Regressor: 2.420672687046343 CatBoost Regressor: 2.420495785263131 CatBoost Regressor: 2.420511604353133
[I 2022-11-03 00:58:44,281] Trial 40 finished with value: 2.420334737769808 and parameters: {'max_leaves': 57, 'depth': 6, 'learning_rate': 0.011407887876248881}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.419504799439573 CatBoost Regressor: 2.4285550395699227 CatBoost Regressor: 2.428533679298926 CatBoost Regressor: 2.4284703669870105 CatBoost Regressor: 2.428363277711968
[I 2022-11-03 00:58:47,296] Trial 41 finished with value: 2.4283771175966242 and parameters: {'max_leaves': 17, 'depth': 5, 'learning_rate': 0.011190426351979444}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4279632244152958 CatBoost Regressor: 2.426711320120997 CatBoost Regressor: 2.426736539022822 CatBoost Regressor: 2.4266231574314863 CatBoost Regressor: 2.4265061224717304
[I 2022-11-03 00:58:51,647] Trial 42 finished with value: 2.426495208295199 and parameters: {'max_leaves': 26, 'depth': 5, 'learning_rate': 0.011106144243377771}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4258989024289606 CatBoost Regressor: 2.426500628232885 CatBoost Regressor: 2.426530077281261 CatBoost Regressor: 2.4266471069307594 CatBoost Regressor: 2.426744439563979
[I 2022-11-03 00:58:55,465] Trial 43 finished with value: 2.4265104058416647 and parameters: {'max_leaves': 17, 'depth': 8, 'learning_rate': 0.013584693341717302}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.426129777199439 CatBoost Regressor: 2.4250205894748453 CatBoost Regressor: 2.425094660467619 CatBoost Regressor: 2.424951517789823 CatBoost Regressor: 2.42498970952783
[I 2022-11-03 00:59:01,846] Trial 44 finished with value: 2.4248616140266734 and parameters: {'max_leaves': 34, 'depth': 6, 'learning_rate': 0.01005242151258111}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4242515928732495 CatBoost Regressor: 2.427902140861038 CatBoost Regressor: 2.428008531460891 CatBoost Regressor: 2.4278678166037833 CatBoost Regressor: 2.4280436444231963
[I 2022-11-03 00:59:05,180] Trial 45 finished with value: 2.427865364692642 and parameters: {'max_leaves': 15, 'depth': 8, 'learning_rate': 0.011885076914546112}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4275046901143034 CatBoost Regressor: 2.4103376754822 CatBoost Regressor: 2.409973193497432 CatBoost Regressor: 2.410777568681423 CatBoost Regressor: 2.4103789352482194
[I 2022-11-03 00:59:23,701] Trial 46 finished with value: 2.410109597052613 and parameters: {'max_leaves': 124, 'depth': 5, 'learning_rate': 0.0215243127306271}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4090806123537893 CatBoost Regressor: 2.4118225047263624 CatBoost Regressor: 2.4119930406182264 CatBoost Regressor: 2.412549113482633 CatBoost Regressor: 2.4120240912643984
[I 2022-11-03 00:59:41,965] Trial 47 finished with value: 2.411865814890148 and parameters: {'max_leaves': 89, 'depth': 10, 'learning_rate': 0.016841892779615394}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4109403243591205 CatBoost Regressor: 2.4122586169866773 CatBoost Regressor: 2.412614902204486 CatBoost Regressor: 2.4131430724305747 CatBoost Regressor: 2.412707876342589
[I 2022-11-03 00:59:47,463] Trial 48 finished with value: 2.4125237046502024 and parameters: {'max_leaves': 26, 'depth': 7, 'learning_rate': 0.05818702251832609}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4118940552866848 CatBoost Regressor: 2.4246774666613464 CatBoost Regressor: 2.424837525478808 CatBoost Regressor: 2.424969730041294 CatBoost Regressor: 2.425387078890969
[I 2022-11-03 00:59:50,821] Trial 49 finished with value: 2.4248118613217917 and parameters: {'max_leaves': 15, 'depth': 17, 'learning_rate': 0.020737323503821535}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4241875055365427 CatBoost Regressor: 2.428663182202182 CatBoost Regressor: 2.4286988609335176 CatBoost Regressor: 2.428884257575845 CatBoost Regressor: 2.4288425281356205
[I 2022-11-03 00:59:53,207] Trial 50 finished with value: 2.4287239649872445 and parameters: {'max_leaves': 10, 'depth': 28, 'learning_rate': 0.014482309150803504}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.4285309960890595 CatBoost Regressor: 2.424982940742865 CatBoost Regressor: 2.4251013378695547 CatBoost Regressor: 2.425338343068104 CatBoost Regressor: 2.425425589005339
[I 2022-11-03 00:59:57,616] Trial 51 finished with value: 2.42507942968524 and parameters: {'max_leaves': 21, 'depth': 27, 'learning_rate': 0.014454886892084915}. Best is trial 10 with value: 2.4296208468724356.
CatBoost Regressor: 2.424548937740339 CatBoost Regressor: 2.4297263417028985 CatBoost Regressor: 2.4296664937488193 CatBoost Regressor: 2.4296566952209577 CatBoost Regressor: 2.4298266852656445
[I 2022-11-03 00:59:59,956] Trial 52 finished with value: 2.429650873719562 and parameters: {'max_leaves': 10, 'depth': 21, 'learning_rate': 0.011054989458128708}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.42937815265949 CatBoost Regressor: 2.4283801721891387 CatBoost Regressor: 2.428351882766426 CatBoost Regressor: 2.4283277395050575 CatBoost Regressor: 2.428559637834119
[I 2022-11-03 01:00:02,284] Trial 53 finished with value: 2.4283455435947845 and parameters: {'max_leaves': 10, 'depth': 22, 'learning_rate': 0.015879259651263803}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4281082856791816 CatBoost Regressor: 2.4236716358482027 CatBoost Regressor: 2.4238378720984333 CatBoost Regressor: 2.4239946936386603 CatBoost Regressor: 2.42407931933479
[I 2022-11-03 01:00:08,741] Trial 54 finished with value: 2.4237547454853017 and parameters: {'max_leaves': 30, 'depth': 28, 'learning_rate': 0.012254626339987501}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.423190206506423 CatBoost Regressor: 2.424713196265045 CatBoost Regressor: 2.424933581166008 CatBoost Regressor: 2.4249849391979 CatBoost Regressor: 2.4250271988929657
[I 2022-11-03 01:00:14,462] Trial 55 finished with value: 2.4247528620622054 and parameters: {'max_leaves': 23, 'depth': 24, 'learning_rate': 0.013825837156248463}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.42410539478911 CatBoost Regressor: 2.4285371097125497 CatBoost Regressor: 2.4284376477722107 CatBoost Regressor: 2.4284906287579573 CatBoost Regressor: 2.4287474016887827
[I 2022-11-03 01:00:17,607] Trial 56 finished with value: 2.4284617947151923 and parameters: {'max_leaves': 14, 'depth': 24, 'learning_rate': 0.011067208642507436}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4280961856444594 CatBoost Regressor: 2.413670657337588 CatBoost Regressor: 2.4139987434802372 CatBoost Regressor: 2.413843389464121 CatBoost Regressor: 2.414261825897678
[I 2022-11-03 01:00:40,119] Trial 57 finished with value: 2.4136935950640868 and parameters: {'max_leaves': 112, 'depth': 20, 'learning_rate': 0.010990833582599866}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.412693359140811 CatBoost Regressor: 2.4114874311328447 CatBoost Regressor: 2.4117159657652008 CatBoost Regressor: 2.4119990325036333 CatBoost Regressor: 2.4118223451373586
[I 2022-11-03 01:01:09,743] Trial 58 finished with value: 2.411496760335301 and parameters: {'max_leaves': 150, 'depth': 24, 'learning_rate': 0.010567543418226992}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4104590271374673 CatBoost Regressor: 2.4129468705284625 CatBoost Regressor: 2.4128042651944037 CatBoost Regressor: 2.4128481097807186 CatBoost Regressor: 2.413047766424448
[I 2022-11-03 01:01:13,213] Trial 59 finished with value: 2.4126094980451667 and parameters: {'max_leaves': 16, 'depth': 21, 'learning_rate': 0.08357802960374476}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4114004782978 CatBoost Regressor: 2.422113637137777 CatBoost Regressor: 2.4222297187440884 CatBoost Regressor: 2.4225677479107657 CatBoost Regressor: 2.4226853472464702
[I 2022-11-03 01:01:21,407] Trial 60 finished with value: 2.422231100067957 and parameters: {'max_leaves': 37, 'depth': 25, 'learning_rate': 0.012254889963031588}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.421559049300685 CatBoost Regressor: 2.4291007150501356 CatBoost Regressor: 2.429091740055146 CatBoost Regressor: 2.4291087177910002 CatBoost Regressor: 2.4291736152205683
[I 2022-11-03 01:01:23,991] Trial 61 finished with value: 2.429070799924144 and parameters: {'max_leaves': 10, 'depth': 28, 'learning_rate': 0.013112287250909505}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4288792115038693 CatBoost Regressor: 2.429128499143776 CatBoost Regressor: 2.4291342929105753 CatBoost Regressor: 2.429096569572482 CatBoost Regressor: 2.429036614312279
[I 2022-11-03 01:01:26,309] Trial 62 finished with value: 2.4290457437853794 and parameters: {'max_leaves': 10, 'depth': 29, 'learning_rate': 0.013272937763032693}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4288327429877854 CatBoost Regressor: 2.4291082997123934 CatBoost Regressor: 2.429111909436584 CatBoost Regressor: 2.4291720939075003 CatBoost Regressor: 2.4290788536623276
[I 2022-11-03 01:01:28,683] Trial 63 finished with value: 2.4290463742539297 and parameters: {'max_leaves': 10, 'depth': 28, 'learning_rate': 0.013365204405531678}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4287607145508425 CatBoost Regressor: 2.4255132984454693 CatBoost Regressor: 2.425632928106833 CatBoost Regressor: 2.425781222510524 CatBoost Regressor: 2.425847384477715
[I 2022-11-03 01:01:32,975] Trial 64 finished with value: 2.4255572355109223 and parameters: {'max_leaves': 21, 'depth': 30, 'learning_rate': 0.013298550525938212}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4250113440140706 CatBoost Regressor: 2.422241946039067 CatBoost Regressor: 2.4227883682359934 CatBoost Regressor: 2.42250273240774 CatBoost Regressor: 2.4228619038582533
[I 2022-11-03 01:01:38,952] Trial 65 finished with value: 2.422367261562604 and parameters: {'max_leaves': 25, 'depth': 29, 'learning_rate': 0.017707666827586795}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.421441357271966 CatBoost Regressor: 2.4283392932168253 CatBoost Regressor: 2.4283004704876556 CatBoost Regressor: 2.4281596519861592 CatBoost Regressor: 2.428478786347359
[I 2022-11-03 01:01:41,967] Trial 66 finished with value: 2.428226253136755 and parameters: {'max_leaves': 13, 'depth': 26, 'learning_rate': 0.01256192322516662}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.427853063645777 CatBoost Regressor: 2.4228557714581793 CatBoost Regressor: 2.423229585316052 CatBoost Regressor: 2.423187454623861 CatBoost Regressor: 2.423378065039169
[I 2022-11-03 01:01:48,741] Trial 67 finished with value: 2.4229784400332313 and parameters: {'max_leaves': 31, 'depth': 29, 'learning_rate': 0.013254450970473808}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4222413237288936 CatBoost Regressor: 2.4247625744171075 CatBoost Regressor: 2.4252264726327097 CatBoost Regressor: 2.4252714483916376 CatBoost Regressor: 2.4252371790829215
[I 2022-11-03 01:01:53,151] Trial 68 finished with value: 2.4250069220739747 and parameters: {'max_leaves': 20, 'depth': 27, 'learning_rate': 0.015247362915115576}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.424536935845498 CatBoost Regressor: 2.4181742057093762 CatBoost Regressor: 2.418714392312176 CatBoost Regressor: 2.4184689508915307 CatBoost Regressor: 2.4188995532968116
[I 2022-11-03 01:02:06,940] Trial 69 finished with value: 2.418344118035066 and parameters: {'max_leaves': 69, 'depth': 18, 'learning_rate': 0.010547029984388685}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4174634879654344 CatBoost Regressor: 2.4295222268379337 CatBoost Regressor: 2.4294711515366068 CatBoost Regressor: 2.429567844984195 CatBoost Regressor: 2.4296972615650354
[I 2022-11-03 01:02:09,275] Trial 70 finished with value: 2.42951245152582 and parameters: {'max_leaves': 10, 'depth': 29, 'learning_rate': 0.011615132342987616}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.429303772705329 CatBoost Regressor: 2.4283643547990943 CatBoost Regressor: 2.4283838423831465 CatBoost Regressor: 2.428746871790671 CatBoost Regressor: 2.4285723825956325
[I 2022-11-03 01:02:12,149] Trial 71 finished with value: 2.428406284426674 and parameters: {'max_leaves': 13, 'depth': 29, 'learning_rate': 0.01210018231849371}. Best is trial 52 with value: 2.429650873719562.
CatBoost Regressor: 2.4279639705648277 CatBoost Regressor: 2.4300020825454745 CatBoost Regressor: 2.429952332984095 CatBoost Regressor: 2.4299238679645274 CatBoost Regressor: 2.4300621480271523
[I 2022-11-03 01:02:14,467] Trial 72 finished with value: 2.429913367691559 and parameters: {'max_leaves': 10, 'depth': 28, 'learning_rate': 0.010032915139866027}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.429626406936543 CatBoost Regressor: 2.426885821354495 CatBoost Regressor: 2.4268483397049567 CatBoost Regressor: 2.4269205939278105 CatBoost Regressor: 2.4271912008745793
[I 2022-11-03 01:02:18,360] Trial 73 finished with value: 2.426870068249094 and parameters: {'max_leaves': 19, 'depth': 27, 'learning_rate': 0.011687678830044125}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4265043853836286 CatBoost Regressor: 2.4289247240831773 CatBoost Regressor: 2.4289416563817228 CatBoost Regressor: 2.4288042023078926 CatBoost Regressor: 2.429017496610671
[I 2022-11-03 01:02:21,376] Trial 74 finished with value: 2.4288227909941127 and parameters: {'max_leaves': 14, 'depth': 28, 'learning_rate': 0.01001292088478427}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4284258755870995 CatBoost Regressor: 2.4298826582230255 CatBoost Regressor: 2.429807813455577 CatBoost Regressor: 2.429880824555946 CatBoost Regressor: 2.429877070027192
[I 2022-11-03 01:02:23,583] Trial 75 finished with value: 2.4298090228327274 and parameters: {'max_leaves': 10, 'depth': 26, 'learning_rate': 0.010576964930438922}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4295967479018965 CatBoost Regressor: 2.426010055797984 CatBoost Regressor: 2.4259837421727424 CatBoost Regressor: 2.4261621198063144 CatBoost Regressor: 2.426196965920004
[I 2022-11-03 01:02:28,057] Trial 76 finished with value: 2.425981215526325 and parameters: {'max_leaves': 24, 'depth': 25, 'learning_rate': 0.010887623722204887}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4255531939345816 CatBoost Regressor: 2.4266695708839467 CatBoost Regressor: 2.4267433266394693 CatBoost Regressor: 2.426784424154754 CatBoost Regressor: 2.4269596340614727
[I 2022-11-03 01:02:31,871] Trial 77 finished with value: 2.4266547982291806 and parameters: {'max_leaves': 20, 'depth': 26, 'learning_rate': 0.011515871275445743}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.42611703540626 CatBoost Regressor: 2.4256464372623174 CatBoost Regressor: 2.425638016804315 CatBoost Regressor: 2.425649003042585 CatBoost Regressor: 2.426060148943688
[I 2022-11-03 01:02:37,553] Trial 78 finished with value: 2.4255811560043177 and parameters: {'max_leaves': 27, 'depth': 25, 'learning_rate': 0.01033317558448214}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.424912173968683 CatBoost Regressor: 2.4268061192663355 CatBoost Regressor: 2.427034198232631 CatBoost Regressor: 2.427162494949928 CatBoost Regressor: 2.4272746186294505
[I 2022-11-03 01:02:40,937] Trial 79 finished with value: 2.426955480471398 and parameters: {'max_leaves': 17, 'depth': 26, 'learning_rate': 0.012717267064918821}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.426499971278645 CatBoost Regressor: 2.4289298503138004 CatBoost Regressor: 2.4288527769653734 CatBoost Regressor: 2.4288541972115127 CatBoost Regressor: 2.429097383723029
[I 2022-11-03 01:02:43,636] Trial 80 finished with value: 2.428870459824792 and parameters: {'max_leaves': 13, 'depth': 30, 'learning_rate': 0.010745748255252515}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4286180909102426 CatBoost Regressor: 2.4290062727543535 CatBoost Regressor: 2.4290284318757775 CatBoost Regressor: 2.429040292719511 CatBoost Regressor: 2.4289926718225066
[I 2022-11-03 01:02:45,835] Trial 81 finished with value: 2.428947168387854 and parameters: {'max_leaves': 10, 'depth': 29, 'learning_rate': 0.013687292374333387}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.428668172767121 CatBoost Regressor: 2.429458410171634 CatBoost Regressor: 2.429430251832241 CatBoost Regressor: 2.429587463185442 CatBoost Regressor: 2.4296743086064416
[I 2022-11-03 01:02:48,135] Trial 82 finished with value: 2.429469921012774 and parameters: {'max_leaves': 10, 'depth': 28, 'learning_rate': 0.01170415179866688}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4291991712681136 CatBoost Regressor: 2.428041801244606 CatBoost Regressor: 2.428093018125126 CatBoost Regressor: 2.428140300847837 CatBoost Regressor: 2.4282965778952184
[I 2022-11-03 01:02:51,395] Trial 83 finished with value: 2.4280501616958374 and parameters: {'max_leaves': 15, 'depth': 28, 'learning_rate': 0.011504412976502214}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.427679110366401 CatBoost Regressor: 2.4276272339651466 CatBoost Regressor: 2.4275302391083056 CatBoost Regressor: 2.42753058670783 CatBoost Regressor: 2.427896786926776
[I 2022-11-03 01:02:55,420] Trial 84 finished with value: 2.4275425781378384 and parameters: {'max_leaves': 19, 'depth': 27, 'learning_rate': 0.01003482493769357}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4271280439811336 CatBoost Regressor: 2.4155882449494492 CatBoost Regressor: 2.415929488343347 CatBoost Regressor: 2.4160322926658484 CatBoost Regressor: 2.416410923673699
[I 2022-11-03 01:03:00,862] Trial 85 finished with value: 2.4158188150297724 and parameters: {'max_leaves': 23, 'depth': 23, 'learning_rate': 0.04101763749623112}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.415133125516519 CatBoost Regressor: 2.428352804201586 CatBoost Regressor: 2.4285039778245183 CatBoost Regressor: 2.4285450869735516 CatBoost Regressor: 2.428743776593092
[I 2022-11-03 01:03:03,792] Trial 86 finished with value: 2.4284466239211664 and parameters: {'max_leaves': 13, 'depth': 15, 'learning_rate': 0.01187053297318662}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4280874740130844 CatBoost Regressor: 2.4232227562014796 CatBoost Regressor: 2.4234168432421788 CatBoost Regressor: 2.4232585955431083 CatBoost Regressor: 2.423828240232197
[I 2022-11-03 01:03:10,479] Trial 87 finished with value: 2.4232806361999284 and parameters: {'max_leaves': 31, 'depth': 28, 'learning_rate': 0.012632324159787356}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.422676745780677 CatBoost Regressor: 2.4197684806022077 CatBoost Regressor: 2.4201741913876407 CatBoost Regressor: 2.4201911436776062 CatBoost Regressor: 2.420446851605145
[I 2022-11-03 01:03:14,637] Trial 88 finished with value: 2.4199575961286115 and parameters: {'max_leaves': 17, 'depth': 30, 'learning_rate': 0.03485935766942533}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.419207313370457 CatBoost Regressor: 2.4298883777634375 CatBoost Regressor: 2.429823720998519 CatBoost Regressor: 2.4299529486209304 CatBoost Regressor: 2.4298894845972288
[I 2022-11-03 01:03:17,008] Trial 89 finished with value: 2.4298337089730575 and parameters: {'max_leaves': 10, 'depth': 27, 'learning_rate': 0.010520299361865644}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.429614012885171 CatBoost Regressor: 2.4251700363622333 CatBoost Regressor: 2.425241393153708 CatBoost Regressor: 2.42533419195935 CatBoost Regressor: 2.425611257552956
[I 2022-11-03 01:03:23,132] Trial 90 finished with value: 2.425208081354671 and parameters: {'max_leaves': 27, 'depth': 26, 'learning_rate': 0.010950707636206656}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4246835277451093 CatBoost Regressor: 2.429584779803607 CatBoost Regressor: 2.429522209152151 CatBoost Regressor: 2.429596827720358 CatBoost Regressor: 2.4296096216933787
[I 2022-11-03 01:03:25,688] Trial 91 finished with value: 2.4295168224575443 and parameters: {'max_leaves': 11, 'depth': 27, 'learning_rate': 0.010571633158930888}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.429270673918227 CatBoost Regressor: 2.4290001768786493 CatBoost Regressor: 2.4289383662464967 CatBoost Regressor: 2.429076399697307 CatBoost Regressor: 2.4290451189610915
[I 2022-11-03 01:03:28,636] Trial 92 finished with value: 2.428951238040549 and parameters: {'max_leaves': 13, 'depth': 27, 'learning_rate': 0.010558518098612248}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4286961284192006 CatBoost Regressor: 2.427222773624594 CatBoost Regressor: 2.42715159962825 CatBoost Regressor: 2.4272201476227635 CatBoost Regressor: 2.427540643340897
[I 2022-11-03 01:03:32,533] Trial 93 finished with value: 2.427168413624247 and parameters: {'max_leaves': 18, 'depth': 29, 'learning_rate': 0.011487749593177317}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.426706903904731 CatBoost Regressor: 2.42846493624307 CatBoost Regressor: 2.428373333306501 CatBoost Regressor: 2.4285613783972 CatBoost Regressor: 2.4285965271224046
[I 2022-11-03 01:03:35,809] Trial 94 finished with value: 2.428428058690089 and parameters: {'max_leaves': 15, 'depth': 27, 'learning_rate': 0.010530857431488195}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.428144118381269 CatBoost Regressor: 2.425794897723186 CatBoost Regressor: 2.4258402129569787 CatBoost Regressor: 2.425740143021152 CatBoost Regressor: 2.4261055666443867
[I 2022-11-03 01:03:40,521] Trial 95 finished with value: 2.4257221703154315 and parameters: {'max_leaves': 22, 'depth': 16, 'learning_rate': 0.012203318629019678}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4251300312314537 CatBoost Regressor: 2.4297058685070856 CatBoost Regressor: 2.4295379694112524 CatBoost Regressor: 2.4296088518940415 CatBoost Regressor: 2.4297420963227534
[I 2022-11-03 01:03:42,929] Trial 96 finished with value: 2.429588357258466 and parameters: {'max_leaves': 10, 'depth': 19, 'learning_rate': 0.011287190136096035}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.429347000157195 CatBoost Regressor: 2.4278185238680274 CatBoost Regressor: 2.427755018309324 CatBoost Regressor: 2.42792063239025 CatBoost Regressor: 2.4280814228439476
[I 2022-11-03 01:03:46,433] Trial 97 finished with value: 2.4278409066362565 and parameters: {'max_leaves': 16, 'depth': 19, 'learning_rate': 0.011379065642922763}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4276289357697323 CatBoost Regressor: 2.4162440578046787 CatBoost Regressor: 2.4166408564909543 CatBoost Regressor: 2.4167503143033575 CatBoost Regressor: 2.4166425041402486
[I 2022-11-03 01:04:04,336] Trial 98 finished with value: 2.416389084310572 and parameters: {'max_leaves': 86, 'depth': 19, 'learning_rate': 0.010488090685457394}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.4156676888136213 CatBoost Regressor: 2.4116642438120053 CatBoost Regressor: 2.412098100895477 CatBoost Regressor: 2.412287910226834 CatBoost Regressor: 2.4122168533647215
[I 2022-11-03 01:04:31,034] Trial 99 finished with value: 2.4118203700696115 and parameters: {'max_leaves': 138, 'depth': 22, 'learning_rate': 0.011097716676060278}. Best is trial 72 with value: 2.429913367691559.
CatBoost Regressor: 2.410834742049019
score: 2.429913367691559, params: {'max_leaves': 10, 'depth': 28, 'learning_rate': 0.010032915139866027}
optuna.visualization.plot_param_importances(cat_roc_study) # 파라미터 중요도 확인 그래프
optuna.visualization.plot_optimization_history(cat_roc_study) # 최적화 과정 시각화
reader = Reader(rating_scale=(1, 10))
train_data = Dataset.load_from_df(train_df[['uid', 'iid', 'ratings']], reader)
test_data = Dataset.load_from_df(test_df[['uid', 'iid', 'ratings']], reader)
fold = DatasetAutoFolds(df = train_df[['uid', 'iid', 'ratings']], reader = reader)
trainset = fold.build_full_trainset()
svd_wrapper=SVD(**model_params['svd'],random_state=SEED)
svd_wrapper.fit(trainset)
<surprise.prediction_algorithms.matrix_factorization.SVD at 0x7eff67de0310>
lgb_r_wrapper= LGBMRegressor(**model_params['lgb_r'] ,random_state=SEED)
lgb_r_wrapper.fit(X_train.select_dtypes(exclude='object'), y_train)
LGBMRegressor(class_weight='balanced', learning_rate=0.02750108543596555,
max_depth=9, min_child_samples=31,
min_child_weight=0.7574846332086538, n_estimators=57,
num_leaves=10, random_state=8746, reg_alpha=0.3887691947863865,
reg_lambda=0.19029119128000968)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. LGBMRegressor(class_weight='balanced', learning_rate=0.02750108543596555,
max_depth=9, min_child_samples=31,
min_child_weight=0.7574846332086538, n_estimators=57,
num_leaves=10, random_state=8746, reg_alpha=0.3887691947863865,
reg_lambda=0.19029119128000968)catb_wrapper=CatBoostRegressor(**model_params['catb'], grow_policy='Lossguide', random_state=SEED, silent=True)
catb_wrapper.fit(X_train.select_dtypes(exclude='object'), y_train, early_stopping_rounds=100)
<catboost.core.CatBoostRegressor at 0x7eff64387ca0>
from sklearn.ensemble import VotingRegressor
voting_model = VotingRegressor(estimators=[('lgbm', lgb_r_wrapper), ('catboost', catb_wrapper)])
voting_model.fit(X_train.select_dtypes(exclude='object'), y_train)
voting_pred = voting_model.predict(X_test.select_dtypes(exclude='object'))
score=rmse(voting_pred,y_test)
model_scores['ensemble']=score
{'svd': 2.2151653244307097,
'coclu': 2.5070737129167298,
'lgbm_cl': 2.6278796390841412,
'lgbm_r': 2.4148026177619055,
'catboost_cl': 2.624634104703997,
'catboost_r': 2.4149702839268348,
'opt_weight': 2.2139588804173833,
'combined_lgbm_cl': 2.3285590939813408,
'combined_catboost_cl': 2.3249798667707897} 데이터셋 그대로
model_scores
{'svd': 2.2877188756780997,
'lgb_r': 2.8858343690076387,
'catb': 2.429913367691559,
'ensemble': 2.5314419537259227}